Upside Business Travel jobs in San Francisco, CA - 33 jobs

Upside is solving the B2B go-to-market problem with AI. We unify, structure, and use AI to enhance GTM data. Our team is ex-Branch ($4b valuation, $100m+ ARR), and we're seed-stage, moving fast, and partnering closely with well-known companies as design partners to shape the product. We are looking for a Customer Data Analyst to join our founding team. This is an opportunity to work directly with the CEO and play a pivotal role in shaping both how we deliver value to customers and how we evolve the product. You will work closely with our design partners-helping them make sense of complex data, uncover patterns, and translate insights into actions that improve their GTM performance. At the same time, you'll synthesize customer feedback into structured insights that will guide our product roadmap. This role is ideal for someone who thrives in ambiguity, sees data as a puzzle to solve, and wants to work at the intersection of customer-facing work, analytics, and product strategy. Why this role exists We are looking for a Customer Data Analyst to join our founding team. This is an opportunity to work directly with the CEO and play a pivotal role in shaping both how we deliver value to customers and how we evolve the product. You will work closely with our design partners-helping them make sense of complex data, uncover patterns, and translate insights into actions that improve their GTM performance. At the same time, you'll synthesize customer feedback into structured insights that will guide our product roadmap. This role is ideal for someone who thrives in ambiguity, sees data as a puzzle to solve, and wants to work at the intersection of customer-facing work, analytics, and product strategy. What you'll do Own design-partner outcomes: onboard, troubleshoot, and guide early customers to measurable wins and deeper adoption. Analyze multi-source data: wrangle CRM/RevOps, marketing touchpoints, and product signals; find patterns and attribution insights that change decisions. Tell the story: package findings into short narratives, dashboards, and recommendations executives will act on, help them create QBR and board slides. Close the loop with product: translate customer pain + data learnings into prioritized, testable product requirements. Build for scale: create playbooks, frameworks, and lightweight instrumentation that make future implementations faster and more reliable. Be the voice of reality: pressure-test assumptions, validate data quality, and call out hallucinations before customers see them. You might be a fit if you have 4-5 years in customer success, data analysis, management consulting, RevOps, or similar, ideally in B2B SaaS. GTM fluency: you understand how sales/marketing/revenue ops actually run (pipelines, campaigns, stages, SLAs, attribution basics). Hands-on analytics: strong SQL; comfort with spreadsheets + a BI tool (Mode/Metabase/Looker/Power BI). Python/R is a plus. Data storytelling: you can turn a messy dataset into a 1-pager an exec will forward. Customer presence: consultative, calm under ambiguity, and credible with VP/C-level. Builder energy: you prefer 0→1, document as you go, and don't wait for perfect specs. Bonus: management consulting, startup/early-stage experience, dbt familiarity, Salesforce/HubSpot/Gong chops, knowledge of MMM/multi-touch attribution tradeoffs. Bonus+: This tweet feels too real Why Upside Work with a group of experienced founders who already built one unicorn company; work directly with the Founder & CEO on high-leverage problems. Shape the future of how companies understand their own efficiencies in the age of AI Work hands-on with innovative companies and see your insights directly influence their GTM strategy. Opportunity to grow with the company and build an analytics and insights team We're an equal-opportunity employer. If you're excited about the role but don't meet every bullet, we still want to hear from you.

Founded in 2020, Mesh is the first global payment network for crypto, connecting hundreds of exchanges, wallets, and financial services platforms to enable seamless digital asset payments and conversions. By unifying these platforms into a single network, Mesh is pioneering an open, connected, and secure ecosystem for digital finance. Mesh has raised over $120M in funding and is backed by notable investors including Paradigm, PayPal Ventures, Galaxy Ventures, Money Forward, QuantumLight, Samsung Next, Consensys, and more. For more information, visit ***************************** We're on a mission to accelerate the adoption of cryptocurrency and financial innovation worldwide. As a Business Operations and Strategy Manager on the BizOps team, you'll drive high-impact initiatives that fuel growth, efficiency, and scale-partnering with leadership, product, and go-to-market teams to launch new products, strengthen systems, and capture opportunities in a rapidly evolving fintech and crypto landscape. This role is ideal for someone who thrives in dynamic environments, brings a data-driven, analytical approach, and moves seamlessly between big-picture strategy and hands-on execution to help shape the financial systems of the future. What You'll Do Lead and support cross-functional projects that improve efficiency, alignment, and performance. Partner with Product and GTM teams to operationalize launches for key offerings. Research, evaluate, and help execute new business opportunities, partnerships, and strategic initiatives. Develop and track KPIs, providing insights and recommendations to leadership. Build scalable workflows and process documentation to support rapid growth. Conduct analyses and prepare materials to inform decision-making. Contribute to improving tools and automation that drive operational scale. Who You Are Bachelor Degree 4+ years of experience in business operations, consulting, strategy, or a similar role in tech, fintech, or high-growth environments. Track record of managing cross-functional projects from start to finish. Strong analytical skills (Excel/Sheets proficiency; SQL is a plus). Ability to distill complex issues into clear recommendations and action plans. Familiarity with KPI development and business performance tracking. Strong communicator who works well with diverse teams and stakeholders. Comfortable in ambiguous, fast-changing environments and able to adapt quickly. Why You'll Love It Here At Mesh, you're not stepping into a typical role-you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big-this is where you'll want to be. How We Care For Our Team We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO-and we mean it. Take the time you need to recharge and show up at your best. We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work. Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the team Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots are built in-house, which means fabrication, iteration, and shop execution are core to how we operate. Our hardware team designs and builds low-cost six-axis robotic arms used to train and deploy generalist AI models. The shop is where designs become real parts. About the role As a Shop Technician / Machinist (Entry Level) at Droyd, you'll support day-to-day in-house fabrication for our robotics team. You'll run CNC equipment, operate advanced 3D printers, and produce reliable prototype and production parts. This is an entry-level, hands-on role designed for someone early in their career who wants to grow into a senior fabrication or manufacturing position. You'll work closely with mechanical engineers and learn directly on real hardware. This role is based on-site in Burlingame, CA. In this role, you'll Additive manufacturing Operate and maintain a fleet of Bambu Lab printers (H2D and P1S) with multi-material capability Set up prints using engineering filaments such as PPA-CF, PC, ASA, and PETG-CF Tune slicing for strength, dimensional accuracy, reliability, and material efficiency Manage filament drying, storage, and material handling Own the full print workflow including setup, monitoring, post-processing, and finishing Perform annealing and other thermal post-processing for high-performance polymers CNC machining Program and run 3-axis and 4-axis CAM operations for aluminum parts Operate in-house CNC equipment including AVID routers and a Makera Carvera mill Plan workholding, design fixtures, and prepare part setups Perform routine maintenance such as calibration, tramming, lubrication, and tool changes CAD, CAM, and fixturing Create simple CAD models for fixtures, jigs, and prototypes (Onshape preferred) Generate CAM toolpaths for router-style CNC systems and small mills Design custom fixtures for unconventional geometries General shop operations Operate core shop tools such as drill presses, saws, sanders, and deburring tools Help keep the shop safe, organized, and running smoothly Support inventory tracking for tooling, consumables, and raw materials Learn and grow into operating additional equipment as the shop scales Vendor coordination Assist with communication and coordination with external machine shops and fabricators Help manage outsourced machining and specialty fabrication work We're looking for candidates who Are early in their career and looking for an entry-level role in fabrication or machining Have hands-on experience from school shops, internships, maker spaces, or personal projects Are comfortable working with tools, machines, and physical hardware Want to learn CNC machining, additive manufacturing, and shop best practices Take pride in clean, reliable work and attention to detail Are eager to grow into more responsibility over time About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, build it in-house, and deploy robots that operate in real production environments. If we do this right, robots stop being prototypes and start being infrastructure. Join us and help build the hardware that makes it real.

About the team Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware. Our AI team builds the models and inference systems that let robotic arms see, reason, and act. This work runs on deployed robots, not demos. About the role As a Machine Learning Intern at Droyd, you'll work directly on the learning and inference systems that power our robotic arms. You'll train models, run experiments, and help push research into production. You'll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots. This role is based in Burlingame, CA. We're an in-person company. We build faster that way. In this role, you'll Work across the ML stack, from training to inference Train and evaluate models that run on low-payload robotic systems Run experiments, analyze results, and document findings Learn how model design, data quality, and hardware constraints affect real-world performance Support deployment and testing of models on robotic hardware We're looking for candidates who Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related field Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAX Are willing to balance school and work in a fast-moving environment Are curious about robotics and interested in how learning systems behave in the real world Take ownership, ask good questions, and can carry projects forward with guidance About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, collect our own data, and train models that operate under real-world constraints. If we do this right, robots become dependable tools people rely on every day. Join us and help build systems that ship.

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at ************** Summary: As a Strategic Projects Lead (SPL) at Turing, you will spearhead large-scale, impactful projects for leading AI companies. Your role is critical in accelerating innovation by managing teams, fostering client relationships, and ensuring the timely, high-quality delivery of solutions in a dynamic environment. Responsibilities: Design and manage end-to-end project workflows to achieve business outcomes. Identify process bottlenecks and implement enhancements for efficiency and quality. Collaborate with engineering teams to automate and scale delivery capabilities. Serve as the primary contact for AI research and operations teams, ensuring clear communication and reporting. Build long-term client partnerships through reliable and exceptional performance. Oversee and align a distributed workforce of 500+ contributors with project goals. Lead onboarding, training, and performance management to maintain project quality. Utilize data-driven insights to optimize operational efficiency and reduce costs. Required Skills: PhD degree with at least 2 years of experience working in data related fields OR 5 years of corporate research experience working with PhDs. Able to read and write python code and understand data very well. Track record of leading complex projects with multiple stakeholders. Strong analytical, communication, and organizational skills. Strong technical (data) documentation skills and knowledge of data quality. Ability to lead cross-functional teams and deliver results in dynamic settings. Comfort engaging with senior stakeholders in world-class technology organizations. Thrives in fast-moving, ambiguous environments and is passionate about system optimization and continuous improvement. Prior experience working with PhD talent. Knowledge on LLM research, SOTA models and benchmarks. Compensation Range for this role - USD 130,000 - USD 175,000 Values: We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: Amazing work culture (Super collaborative & supportive work environment; 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

This is a general application. Feel free to apply and we'll reach out if there a fit! About Droyd Droyd is an early-stage robotics company building autonomous robotic systems to automate repetitive manual work for enterprises. We design and manufacture our own hardware, build the full autonomy stack, and deploy robots into real operational environments. If we succeed, companies will offload dull, manual tasks to robots that work reliably every day. That means safer jobs, higher productivity, and operations that scale without adding headcount. Join us to build real-world robots that ship.

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at ************** About the Role This is a strategic, customer-facing role responsible for driving growth and delivering technically scoped programs inside frontier AI organizations. You will work directly with model developers, research teams, and infrastructure leads at some of the most advanced labs in the world. Your work will shape how these organizations scale large models, evaluate system behavior, train agents, and improve safety. The scope includes both commercial and technical ownership. You'll identify opportunities for collaboration, define the structure and terms of each engagement, and ensure successful delivery across internal and external teams. Success in this role depends on the ability to translate loosely defined technical objectives into executable programs - and to grow relationships by consistently delivering value in highly complex, evolving environments. This role is designed for someone who can navigate early-stage model development contexts, build trust with deeply technical teams, and drive meaningful commercial and strategic outcomes without relying on standard sales tactics. Responsibilities * Manage commercial and technical relationships with frontier AI labs developing foundation models and related systems. Own overall account growth, strategic alignment, and delivery success. * Identify areas of opportunity within research and model development pipelines - including evaluation, safety, agentic workflows, or data generation - and structure these into scoped engagements. * Lead commercial negotiations and close new programs that align with both customer priorities and Turing's AGI infrastructure. * Translate ambiguous or early-stage technical objectives into executable workstreams with clear scope, milestones, and delivery plans. * Coordinate internal teams across product, engineering, operations, and leadership to ensure execution quality and responsiveness to shifting technical requirements. * Maintain direct oversight of program performance across multiple accounts. Monitor delivery health, preempt blockers, and guide iteration based on real-time feedback. * Capture customer insights and organizational signals to inform how Turing evolves its offering for model developers. Contribute to internal roadmaps, service design, and engagement playbooks. * Build and maintain technical credibility with research, infrastructure, and product leaders at customer organizations. Engage fluently in conversations around model scaling, safety, benchmarking, and deployment. Requirements * Demonstrated experience owning strategic customer relationships with technical or research-driven teams in AI, ML infrastructure, or model development environments. * Proven ability to originate and expand high-value programs in complex, multi-stakeholder accounts. * Skilled in scoping and managing delivery of technical programs involving ML systems, data pipelines, model evaluation, or applied research. * Strong understanding of generative AI systems, foundation model lifecycles, and LLM-adjacent workflows such as alignment, evaluation, and data efficiency. * Able to navigate ambiguity, define structure where none exists, and drive alignment across internal and external stakeholders. * Confident communicator capable of engaging C-level sponsors, research leads, and engineering managers with clarity and precision. * Highly organized and execution-oriented. Comfortable managing concurrent workstreams with attention to detail, delivery health, and long-term growth strategy. * Location in the SF Bay Area is required. Compensation Range - Upto USD 450,000 (Base + Variable) Values: * We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. * We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection * We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: * Amazing work culture (Super collaborative & supportive work environment; 5 days a week) * Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) * Competitive compensation * Flexible working hours Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Founded in 2020, Mesh is the first global payment network for crypto, connecting hundreds of exchanges, wallets, and financial services platforms to enable seamless digital asset payments and conversions. By unifying these platforms into a single network, Mesh is pioneering an open, connected, and secure ecosystem for digital finance. Mesh has raised over $120M in funding and is backed by notable investors including Paradigm, PayPal Ventures, Galaxy Ventures, Money Forward, QuantumLight, Samsung Next, Consensys, and more. For more information, visit ***************************** Mesh is looking for a commercial leader to drive growth across our ecosystem of payments companies, wallets, PSPs, and merchants. You'll create new revenue streams, uncover untapped opportunities, and turn emerging payment trends into real, monetizable products. Working at the intersection of partnerships, product, and strategy, you'll activate major enterprise partners, design go-to-market frameworks, and build the infrastructure that transforms Mesh's technical capabilities into scaled revenue. This is your chance to shape the future of crypto payments, build the commercial engine from the ground up, and leave your mark on a rapidly growing global ecosystem. This is a hybrid role based in Miami, FL, New York City, NY, or San Francisco, CA. What You'll Do Own and grow a portfolio of Mesh enterprise partners, including wallets, PSPs, merchants, and payment companies, driving transaction growth, deeper integrations, and multi-product adoption. Build strong commercial and operational relationships while partnering with Product and Engineering to remove friction and launch new payment flows. Identify and develop new monetizable use cases, including stablecoin settlement, embedded payments, and emerging technologies, leading pilots, early customer development, and ROI modeling for new verticals. Expand Mesh's distribution and transaction throughput through PSP, acquirer, and processor networks, developing go-to-market strategies, co-sell motions, and reseller frameworks. Track partner growth metrics, adoption, and revenue forecasts, conducting business reviews and maintaining partner scorecards to ensure commercial alignment. Collaborate cross-functionally with Sales, Product, Customer Success, and Marketing to drive commercial outcomes, provide feedback for product and GTM prioritization, and lead growth initiatives across the ecosystem. Who You Are 8+ years in enterprise payments, fintech, or crypto infrastructure across partnerships, account management, or commercial strategy Deep understanding of payment networks, PSP economics, stablecoins, and merchant value chains Proven ability to own enterprise relationships end-to-end-from expansion and renewal to identifying and closing new opportunities Strong strategic instincts and the ability to turn undefined whitespace into structured, scalable initiatives Track record of driving measurable revenue growth through partner ecosystems Entrepreneurial, self-directed, and comfortable operating in ambiguity Strong executive presence and communication skills; credible with C-suite and product stakeholders alike Ability to translate technical capabilities into commercial opportunities and market narrative Why You'll Love It Here At Mesh, you're not stepping into a typical role-you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big-this is where you'll want to be. How We Care For Our Team We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO-and we mean it. Take the time you need to recharge and show up at your best. We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work. Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the team Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate in production settings, which means mechanical design must be practical, manufacturable, and tightly integrated with electronics and actuation. Our mechanical team designs and builds the physical systems that make our robots work. This team spends as much time prototyping and testing as it does designing. About the role As a Mechanical Engineering Intern at Droyd, you'll work hands-on on real robotic hardware. You'll help design, build, and iterate on mechanical subsystems that ship to production robots. This is not a CAD-only role. You'll be expected to prototype, test, and refine designs alongside full-time engineers. This role is based in Burlingame, CA. We're an in-person company. We build faster that way. In this role, you'll Support mechanical subsystem design from concept through prototype and iteration Create and modify CAD models for parts and assemblies Help perform basic load calculations, testing, and analysis Design parts for rapid prototyping methods such as 3D printing and CNC machining Build and assemble prototypes using 3D printers, hand tools, and shop equipment Help integrate mechanical designs with motors, sensors, and basic mechatronic components Document designs, tests, and learnings We're looking for candidates who Are current juniors or seniors (or equivalent) studying mechanical engineering or a related field Have hands-on experience from clubs, personal projects, or coursework involving physical hardware Can show examples of projects taken from concept to a physical build Are comfortable using modern CAD tools (Onshape preferred, but not required) Are willing to balance school and work in a fast-paced, build-heavy environment Take ownership, learn quickly, and enjoy working with real hardware Nice to have Experience with FEA, topology optimization, or generative design Exposure to machining, tolerancing, or manufacturing workflows Familiarity with electronics, motors, or control systems Interest in industrial or visual design About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, write the control stack, and deploy robots that operate in real environments. If we do this right, robots stop being prototypes and start being infrastructure. Join us and help build hardware that ships.

About the team Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots run under tight latency, reliability, and hardware constraints, which makes software a core part of everything we ship. Our software team builds the systems that connect models to hardware, manage fleets, and keep robots operating in production. About the role As a Software Engineering Intern at Droyd, you'll work across our backend and systems software stack. You'll help build the infrastructure that powers learning, inference, control, and fleet operations for our robotic arms. This role is based in Burlingame, CA. We're an in-person company. We build faster that way. In this role, you'll Design and implement backend systems that integrate AI models with robotic hardware Work on projects such as data pipelines, embedded and systems software, observability tooling, and fleet infrastructure Help build and optimize low-latency streaming and video processing pipelines Support integrations with external robotic systems, including ROS2 nodes and hardware interfaces We're looking for candidates who Are current juniors or seniors (or equivalent) studying computer science, computer engineering, or a related field Are comfortable programming in languages such as Python, C++, or Rust Have interest or experience in systems programming, embedded software, or robotics Are willing to balance school and work in a fast-paced environment Take ownership, learn quickly, and can carry projects forward with guidance Nice to have Experience with Linux systems, networking, or process management Exposure to hardware interfaces such as UART, I2C, CAN, or similar protocols Familiarity with cloud platforms, CI/CD, or real-time systems About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, write the control and software stack, and deploy robots that operate in real production environments. If we do this right, robots stop being demos and start being tools people rely on every day. Join us and help build systems that ship.

About the team Droyd builds autonomous robotic systems that take on repetitive manual work in real environments. Our robotic arms run on tight compute and power budgets, so learning systems have to be fast, reliable, and deeply integrated with hardware. Our AI team designs and ships the models that let robots see, reason, and act. This work runs on real machines, not benchmarks. About the role As an AI Researcher at Droyd, you'll own meaningful parts of the learning and inference stack that power our robotic arms. You'll train models, push them onto hardware, and iterate until they work in the real world. You'll work in person with a small, senior team across robotics, controls, and data. Your work will ship directly to deployed systems. This role is based in Burlingame, CA. We're an in-person company. We build faster that way. In this role, you'll Architect and build training and inference stacks for models running on low-payload robotic systems Design and train new model variants, run experiments, and document results Propose and explore new research directions that improve speed, reliability, or capability Develop fine-tuning and optimization methods tailored to robotics workloads Improve throughput across the full training and deployment pipeline Work with the data team to manage datasets and keep pipelines clean Deploy models to hardware and debug real-world failures We're looking for someone who Has experience with modern ML frameworks like PyTorch or JAX Understands vision-language models and how they behave in practice Holds a Master's, PhD, or equivalent hands-on research experience in ML, AI, or CS Can ship clean research code and reason clearly about model behavior Has interest in robotics, controls, or embodied AI Bonus: experience with edge-device inference or real-time constraints About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, write the control stack, collect our own data, and train models that run under real-world constraints. If we do this right, robots stop being demos and start being tools people rely on every day. Join us and help build systems that actually ship.

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at ************** Role Summary You will own the strategy, team, and execution for frontier-grade data that powers cutting-edge AI systems. You'll build the organization, keep us on the bleeding edge of data methods, and ship proactive, off-the-shelf data packs and tooling that measurably improve model quality and time-to-value. What You'll Do Engage with leading LLM labs to advance LLMs across STEM domain Engage with a team of leading STEM experts in US and across the globe to generate AGI advancing data in STEM Understand and define what constitutes good STEM data (data diversity, model breaking prompts, pass @K distribution) Define and understand data quality rubric Drive data generation operations through PMO reporting into this role Responsible to build a team of Strategic project leads (SPL) and oversee various client data generation workstreams being run by the SPLs Set headcount plans, budget, vendor strategy, and capacity models that scale. Understand SFT/RLHF/RLAIF/Evals methodology Define and continuously refine quality definitions and measurement (rubrics, gold sets, adjudication, inter-annotator agreement, automated checks, eval harnesses). Produce offering collateral and internal research briefs that convert into real customer value. Ship proactive data packs Own the roadmap and production of off-the-shelf data packs (by domain, modality, and task); ensure packaging, documentation, licenses, and release notes are crisp. Drive cross-company learning: postmortems, playbooks, and pattern libraries so wins compound. Tools, generation, and proof of value Stand up proactive data generation (human + synthetic), QC tooling, dashboards, and auto-checks integrated into CI for data. Lead fast PoV cycles with customers: sample packs, eval notebooks, and “time-to-first-signal” demos. Close the loop with customers Systematically implement feedback from Frontier Data Managers and Sales; translate signals into roadmap changes, SLAs, and new pack definitions. Minimum Qualifications STEM degree (CS, Math, Stats, EE, or related). Advanced degree preferred. 10+ years in data/ML/analytics or data product roles; 4+ years leading managers/leads in high-growth environments. Deep command of the data lifecycle for AI systems: sourcing, labeling, synthesis, QA, evals, and deployment feedback loops. Hands-on fluency with Python/SQL and modern data/ML stacks (cloud object stores, distributed compute, labeling/QC systems, experiment/eval frameworks). Track record of turning research into shippable data products and measurable quality lift. Nice to Have Experience with RLHF/RLAIF pipelines, multimodal data, agents/tool use, and safety evaluations. Built or operated human-in-the-loop programs at scale (onshore/offshore) with rigorous QA. Familiarity with data licensing, IP, and safety/privacy constraints for AI training. Core Competencies Org builder with crisp operating cadence and high hiring bar. Product sense for data: knows when a dataset is “sellable” and how it will move eval metrics. Metric-driven and experimental: designs evals that survive contact with reality. Clear communicator who earns trust with execs and ICs. Success Metrics (12 Months) Data Packs: 6-10 new packs launched; ≥70% reused across ≥3 customers each. Quality Lift: ≥X% improvement on target evals (task-specific) vs. baseline; ≤Y% variance. Talent: >90% retention for top performers; time-to-productivity ≤60 days. Voice of Customer: Closed-loop feedback implemented with measurable NPS/CSAT lift. How We Work High-ownership, low-drama execution. Ship small, validate fast, scale what works. Ruthless clarity on quality definitions and measurement. Compensation Range for this role - USD 350,000 to USD 410,000 Values: We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: Amazing work culture (Super collaborative & supportive work environment; 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at ************** The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises, including OpenAI, Anthropic, Google DeepMind, Microsoft AI, Amazon, Apple, and many more. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications The Frontier Data Lead - Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly - you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing's talent pool of 4M+ developers. You'll be responsible for delivering projects at frontier quality and scale-owning data quality, throughput, and timely delivery. You'll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You'll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. In short, you'll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world's best coding agents and models even better at real-world coding tasks across the software development lifecycle. What you'll do 1. End-to-End Ownership: Data Quality, Process Design, and Team Building Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers. Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty. Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation. Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing's 4M+ developer network. Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence. 2. Collaborate with Researchers at Frontier Labs Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects. Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations. 3. Drive Research, Sales Enablement, and Industry Thought Leadership Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively Publish research papers and technical posts on Turing's data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing's model fine-tuning results on our datasets. 4. Build Tools and Infrastructure Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing). Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines. What we're looking for Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model. Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS). Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects. Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams. Background in Computer Science, Machine Learning, or related technical field preferred. Why Turing Work directly with the world's leading AI labs and enterprises at the cutting edge of post-training and RL environment design. Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence-advancing models' ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought. Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries. Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve. Compensation: $250,000 to $350,000 OTE + Equity Values: We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: Amazing work culture (Super collaborative & supportive work environment; 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at ************** Job Title: Frontier Data Lead - Finance Location: Remote or San Francisco Overview We are looking for a Frontier Data Lead to act as a technical owner for our Finance data projects. In this high-impact individual contributor role, you will report directly to the Head of Frontier Data and are responsible for the end-to-end success of data delivery-specifically balancing quality, volume, and deadlines. You will not manage the crowd workforce directly. Instead, you will define the how: you will architect the data generation process, write the automation scripts, set the quality rubrics, and drive the Data Operations team to execute your vision. You are responsible for the revenue growth and technical integrity of your domain. Key Responsibilities Process Architecture & Technical Operations Define the Process: Design and review the end-to-end data generation workflow for every new project, ensuring it is scalable and robust. Drive Technical Ops: Act as the technical director for the Strategic Project Lead; you provide the roadmap and technical requirements that the operations team executes. Tooling & Automation: Design specialized tooling requirements and write scripts (Python/SQL) to automate Quality Assurance, reducing manual bottlenecks. Data Formatting: Define and validate the final data formats (JSON, JSONL, etc.) to ensure seamless integration for the client. Quality Assurance & Standards Set the "Gold Standard": Personally generate the initial data samples to establish the quality benchmark for the project. Rubrics & Guidelines: Create detailed data generation guidelines and rigid Quality Rubrics that objectively measure success. Instruction Finalization: Audit client requirements and work with the Strategic Project Lead to finalize clear, bulletproof instructions for the talent pool. Training Oversight: Review and approve the training and onboarding materials to ensure the talent pool is technically capable of delivering the work. Client Solutioning & Growth Solutioning Partner: Lead technical solutioning conversations with clients, translating their complex AI training needs into executable data strategies. Revenue Responsibility: Own the revenue generation and growth targets for your specific data domain. Proof of Value: Design and execute "Proof of Value" pilots to demonstrate technical capability and win new business. Feedback Loops: Aggressively collect and analyze client feedback to iterate on instructions and improve output immediately. Strategic Collaboration Marketing Technical Input: Collaborate with Marketing to provide the technical "meat" for case studies and white papers that demonstrate our expertise. Cross-Functional Bridge: Serve as the connector between the commercial side (Clients/Sales) and the production side (Data Ops), ensuring no technical nuance is lost in translation. Success Metrics (KPIs) Project Delivery: 100% on-time delivery of data volumes. Quality Acceptance: maintaining a >95% acceptance rate on client deliverables. Revenue Growth: Year-over-year growth of the [Domain] vertical. Required Qualifications Subject Matter Expert: Deep expertise in Finance, and specifically PE/VC/IB. Technical Builder: Proficient in scripting (Python) and comfortable designing automated QA workflows. Project Driver: Proven ability to deliver complex projects on tight deadlines without compromising quality. Commercial Mindset: Understands that high-quality data is a product that drives revenue; comfortable in pre-sales and solutioning environments. Compensation: $300,000 to $400,000 + Equity Values: We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: Amazing work culture (Super collaborative & supportive work environment; 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Founded in 2020, Mesh is the first global payment network for crypto, connecting hundreds of exchanges, wallets, and financial services platforms to enable seamless digital asset payments and conversions. By unifying these platforms into a single network, Mesh is pioneering an open, connected, and secure ecosystem for digital finance. Mesh has raised over $120M in funding and is backed by notable investors including Paradigm, PayPal Ventures, Galaxy Ventures, Money Forward, QuantumLight, Samsung Next, Consensys, and more. For more information, visit ***************************** Overview Mesh is looking for a Staff Backend Engineer to help architect and build the foundation of the world's first global crypto payments network. In this role, you'll operate across the full stack - from backend systems to user-facing applications - driving key technical decisions and shaping the future of digital finance. You'll work closely with cross-functional teams across engineering, product, and design to lead the development of secure, seamless, and scalable financial experiences. As one of our most senior technical leaders, you'll play a critical role in defining system architecture, mentoring engineers, and influencing product strategy. We're especially excited to meet candidates based in San Francisco, where you'll collaborate closely with our core team and help drive our engineering culture from the ground up - but we're also open to remote candidates located in the U.S. What You'll Do Own and drive the roadmap, and implementation for multiple areas of focus, balancing short- and long-term priorities against various business needs. Drive technical architecture decisions and system designs. Provide technical leadership across teams. Collaborate closely with leadership, product, and teams to set strategy. Develop and maintain backend services and APIs. Work closely with Azure cloud services for deployment and scalability. Conduct thorough testing, debugging, and prompt resolution of software defects. Stay up-to-date with industry trends and emerging technologies. Create high-quality, efficient, and reliable code following best practices. Optimize performance and scalability of backend systems for handling large data volumes. Stay updated on the latest trends and technologies in fintech/crypto and backend development. Build crypto first and secure products to facilitate traditional financial activity, such as payments, transfers etc. Drive software best practices and architectural considerations on a project-wide level. Champion best practices in software engineering, infrastructure as code, and DevSecOps. Who You Are 8+ years of software engineering experience, with at least 3 years in fintech or payments infrastructure. Strong backend skills in one or more of: C#, C++, Go, Java, Python. Proficiency in cloud-native development (Azure), Kubernetes, Terraform, and CI/CD tooling. A security first mindset: with good knowledge of common security concepts such as AuthN, AuthZ, SAML, API security, encryption etc An understanding of crypto concepts such as blockchains, RPCs, self custody wallets etc. Solid understanding of RESTful API design principles and microservices architecture. Prior experience leading engineering in a high-growth startup environment is a plus. Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make critical decisions under pressure. A passion for innovation, learning, and growth. Comfort with ambiguity and the ability to thrive in a startup environment. Why You'll Love It Here At Mesh, you're not stepping into a typical role-you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big-this is where you'll want to be. How We Care For Our Team We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO-and we mean it. Take the time you need to recharge and show up at your best. We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work. Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the team Droyd builds autonomous robotic systems that take on repetitive manual work in real environments. Our robots operate under tight latency, reliability, and hardware constraints. Software sits at the center of everything we ship. Our software team builds the systems that connect models to motors, sensors to decisions, and fleets to operators. This code runs on real robots, in production. About the role As a Backend Software Engineer at Droyd, you'll own core parts of the software stack that power our six-degree-of-freedom robotic arms. You'll build systems that support learning, inference, control, and fleet operations. You'll work in person with a small, senior team across robotics, AI, and hardware. Your work will ship directly to deployed robots. This role is based in Burlingame, CA. We're an in-person company. We build faster that way. In this role, you'll Architect, design, implement, and test backend systems for AI models running on edge devices and GPUs Build and maintain tooling for observability, fleet management, calibration, and system reliability Develop and optimize low-latency streaming and video processing pipelines Own integrations with external robotic systems, including ROS2 nodes, SDKs, and hardware control interfaces Support deployment to real hardware and debug production issues in the field We're looking for someone who Has experience working with hardware interfaces like UART, I2C, CAN, EtherCAT, or similar protocols Has strong knowledge of Linux systems, networking, and process management Is comfortable working in large codebases and performance-sensitive environments Can take ownership of complex systems end to end Nice to have Rust experience, including embedded HALs such as Embassy Experience with RTOS or modern C++ for embedded or real-time systems Familiarity with GStreamer or DeepStream for multithreaded video pipelines Experience with WebRTC or other real-time transport technologies About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, write the control and software stack, and deploy fleets of robots that operate in real production environments. If we do this right, robots stop being demos and start being infrastructure. Join us and help build systems that ship.

Founded in 2020, Mesh is the first global payment network for crypto, connecting hundreds of exchanges, wallets, and financial services platforms to enable seamless digital asset payments and conversions. By unifying these platforms into a single network, Mesh is pioneering an open, connected, and secure ecosystem for digital finance. Mesh has raised over $120M in funding and is backed by notable investors including Paradigm, PayPal Ventures, Galaxy Ventures, Money Forward, QuantumLight, Samsung Next, Consensys, and more. For more information, visit ***************************** Mesh is seeking an exceptional Head of Sales - Enterprise to drive our largest, most strategic opportunities. This role will focus exclusively on high-impact enterprise customers across exchanges, wallets, gaming, payments, fintech, and global financial institutions. You will own the full enterprise sales cycle end-to-end-from outbound and early-stage conversations through complex evaluations, commercial structuring, and closing transformational deals. This role is ideal for a top performer who thrives in high-stakes environments, excels at navigating sophisticated organizations, and can operate with extreme ownership and autonomy. This is a hybrid role based in Miami, FL, New York City, NY, or San Francisco, CA. What You'll Do Own and execute enterprise sales strategies that build a world-class pipeline and close large, multi-year strategic partnerships. Lead the entire sales cycle for enterprise accounts with precision, insight, and commercial savvy. Partner with Mesh leadership on strategic pursuits, acting as a key driver in our highest-value deals. Translate Mesh's product suite into compelling solutions for C-level executives and senior decision-makers. Align customer needs with Mesh's capabilities to design innovative, high-impact solutions. Build and maintain deep executive relationships across target accounts. Maintain disciplined forecasting, reporting, and pipeline management with accuracy and rigor. Serve as a voice of the customer internally, influencing product strategy and roadmap decisions. Drive outbound prospecting into top-tier enterprise targets. Represent Mesh at industry events, conferences, and customer meetings. Consistently meet and exceed ambitious revenue targets. Who You Are Bachelor's Degree or equivalent experience Experienced enterprise sales leader with 10+ years closing complex, high-value deals with fintechs, exchanges, wallets, PSPs, banks, or large enterprises. Strategic and consultative: Skilled at navigating executive-level organizations and structuring innovative solutions. Fintech and blockchain knowledge: Strong understanding of digital assets, payments, and blockchain infrastructure. Exceptional communicator: Confident presenting to C-level executives and influencing key decisions. Results-driven and accountable: Takes ownership of outcomes, thrives under pressure, and consistently exceeds quotas. Curious and collaborative: Learns quickly, understands customer needs, and elevates team performance. CRM proficient: Comfortable managing pipeline, forecasting, and reporting in HubSpot, Salesforce, or similar tools Why You'll Love It Here At Mesh, you're not stepping into a typical role-you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big-this is where you'll want to be. How We Care For Our Team We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO-and we mean it. Take the time you need to recharge and show up at your best. We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work. Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Founded in 2020, Mesh is the first global payment network for crypto, connecting hundreds of exchanges, wallets, and financial services platforms to enable seamless digital asset payments and conversions. By unifying these platforms into a single network, Mesh is pioneering an open, connected, and secure ecosystem for digital finance. Mesh has raised over $120M in funding and is backed by notable investors including Paradigm, PayPal Ventures, Galaxy Ventures, Money Forward, QuantumLight, Samsung Next, Consensys, and more. For more information, visit ***************************** Overview We are seeking a talented and experienced Software Engineer with a strong background in backend engineering. As a member of our team, you will play a crucial role in designing, developing, and maintaining our innovative software solutions Mesh is a global company with headquarters in San Francisco, California USA. This candidate will work closely with the Engineering and Product teams spread across North America, Europe and India. What You'll Do Develop and maintain backend services and APIs Work closely with Azure cloud services for deployment and scalability. Conduct thorough testing, debugging, and prompt resolution of software defects. Stay up-to-date with industry trends and emerging technologies. Contribute to code reviews, architectural decisions, and system design. Create high-quality, efficient, and reliable code following best practices. Optimize performance and scalability of backend systems for handling large data volumes. Stay updated on the latest trends and technologies in fintech/crypto and backend development. Build crypto first and secure products to facilitate traditional financial activity, such as payments, transfers etc. Who You Are 5-7+ years of professional experience as a Backend Software Engineer, preferably in the fintech/crypto industry. Strong proficiency in backend programming languages such as C#, Java, Scala, Go, etc. A security first mindset: with good knowledge of common security concepts such as AuthN, AuthZ, SAML, API security, encryption etc An understanding of crypto concepts such as blockchains, RPCs, self custody wallets etc Solid understanding of RESTful API design principles and microservices architecture. Familiarity with cloud platforms such as Azure. Knowledge of DevOps practices and CI/CD pipelines. Excellent communication and collaboration abilities. Why You'll Love It Here At Mesh, you're not stepping into a typical role-you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big-this is where you'll want to be. How We Care For Our Team We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO-and we mean it. Take the time you need to recharge and show up at your best. We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work. Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at ************** Overview We are seeking a seasoned techno-functional leader to drive the development and execution of large-scale LLM training programs. This leader would partner with our clients (leading LLM labs) research teams to: Identify opportunities for building training datasets to improve model capabilities and performance Generate these datasets with high quality and speed Build automation tools and processes for scalability Deliver the datasets so that they are easily usable by our clients Key Responsibilities Operational Leadership & Performance Management Lead and scale global delivery teams of 100+, distributed across functions, regions, and levels (ICs, leads, and managers) Implement performance management systems that go beyond managerial reporting using data-driven metrics, tools, and products to assess productivity, quality, and output consistency Build strong operational structures that allow for transparency, accountability, and early detection of underperformance Partner with cross-functional leads to optimize workflows and improve internal tool adoption for delivery efficiency Data Quality & Scripting-Driven Automation Own the quality, accuracy, and scalability of data generated for LLM training Move beyond manual QA layers by leveraging Python scripting, APIs, and automation frameworks to measure, validate, and improve dataset integrity Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline consistency Ensure datasets adhere to compliance standards (PII, GDPR, HIPAA) and can be programmatically tested for usability and quality LLM Training & Evaluation Lead generation and delivery of high-quality, scalable datasets focused on SFT, RLHF, reasoning, and agentic workflows Oversee the entire data lifecycle from client intake and annotation workflow design to delivery Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate, inter-annotator agreement, and pairwise preference scoring) Client Partnership & Communication Serve as the primary point of contact for enterprise AI clients; manage expectations, delivery timelines, and escalations Build relationships with engineering and research stakeholders by delivering consistently high-quality data Communicate effectively across technical and non-technical audiences; provide transparency through structured updates and quality reporting Team Development & Tooling Recruit, mentor, and coach cross-functional leaders (Eng, Data, Ops, and Program Management) Drive adoption and improvement of internal tools (e.g., task management systems, quality dashboards) Champion continuous improvement across data quality, tools, and delivery processes Required Qualifications 10+ years of experience leading large-scale technical delivery organizations, ideally across AI, ML, or data operations Bachelor's degree in Engineering, Computer Science, or equivalent technical discipline Demonstrated ability to act as a strategic business partner with our clients, researchers, and engineers at leading LLM labs Proven success in building and scaling multi-level high performance teams, with distributed global operations Experience managing managers Skip-level performance management Hands-on technical fluency: ability to write and review data validation scripts Demonstrated experience managing dataset generation or annotation for machine learning model evaluation and/or training Familiarity with ML tools and data workflows (e.g., HuggingFace, LangChain, Weights & Biases, Databricks) Preferred Qualifications Experience evaluating large language model performance and/or improving model performance via fine-tuning Strong understanding of data quality frameworks, including automation, toolings and manual processes Experience in AI data annotation, model evaluation, and fine-tuning platforms Strong communication and storytelling skills with executive stakeholders Location SF Bay Area (Hybrid) Compensation: $255,000 to $325,000 OTE + Equity Values: We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing: Amazing work culture (Super collaborative & supportive work environment; 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.