Application Engineer jobs at Intuitive Surgical - 2132 jobs
Staff Application Engineer
Women In Bio 3.8
San Francisco, CA jobs
About the Role
The Staff ApplicationEngineer (Individual Contributor) is a highly experienced technical leader who delivers high-impact engineering outcomes across multiple teams and products without formal people management responsibilities. This role takes ambiguous, cross-functional problems from concept to scalable solutions; drives architecture and systems design that meet Onyx's standards for security, reliability, and performance; raises the quality bar for engineering excellence; and mentors engineers to level up their technical and operational capabilities.
Key Responsibilities
Lead architecture and systems design for full-stack, data-driven, loosely coupled cloud applications; make pragmatic trade-offs that balance speed, quality, and long-term stability.
Take poorly defined, high‑ambiguity problems and drive them to a clear specification and execution plan; deliver solutions with cross‑organizational impact and value.
Own end‑to‑end delivery of large, strategic engineering initiatives, often crossing collective boundaries; ensure alignment to agreed target architectures and standards.
Write high‑quality, well‑tested code and documentation; produce proposals, runbooks, and operational playbooks that enable clarity, maintenance, and scaling.
Champion operational excellence: design for reliability and security, implement comprehensive observability (metrics, logs, traces), and ensure robust alerting and SLOs.
Operate and support production systems: participate in on‑call, lead incident resolution when needed, perform root‑cause analysis, and drive durable follow‑ups that reduce risk.
Proactively refactor and simplify complex systems; repay technical debt with intent and measurable outcomes; improve performance, scalability, and cost efficiency.
Develop APIs (REST/GraphQL/gRPC) and integration contracts that are resilient, secure, and well documented; advocate for consistent patterns across teams.
Collaborate closely with product, design, data science, compliance/risk, and platform teams to align architectural decisions with user needs and organizational strategy.
Mentor and sponsor engineers across teams (including senior engineers): raise coding standards, guide design choices, and help others navigate trade‑offs and delivery.
Elevate engineering practices across Onyx: standard‑bearer for code reviews, test automation, CI/CD, accessibility, performance, and security‑first design.
Use data to inform decisions; introduce monitoring where needed to improve product and operational outcomes; communicate risk clearly to non‑technical stakeholders.
Stay current with relevant technologies (cloud‑native services, data platforms, front‑end frameworks); bring strategic insights that shape area‑level technology direction.
Contribute to cross‑team initiatives that improve ways of working, incident management, support processes, and the overall quality bar for Onyx ApplicationEngineering.
Basic Qualifications
Bachelor's degree in computer science or related field, or equivalent experience.
7+ years of experience delivering complex, production‑grade, cloud applications at scale.
Experience with backend language and ecosystem (e.g., Python, Java, Scala, JavaScript/Node.js), including documentation, testing, observability, and operations.
Proficiency in front‑end technologies: JavaScript/TypeScript with React.js, Angular, or similar frameworks.
Experience designing and building APIs (REST/GraphQL/gRPC); solid understanding of integration patterns and interoperability.
Cloud experience developing and deploying in environments like Google Cloud (preferred), AWS, or Azure; hands‑on with cloud‑native services and infrastructure‑as‑code patterns.
Experience with authentication and authorization mechanisms (e.g., OAuth2, OIDC); security‑first mindset throughout the SDLC.
Experience with modern SDLC and DevOps tooling: git/GitHub, CI/CD pipelines, automated testing, containerization/orchestration, metrics/monitoring (e.g., Prometheus, Grafana, OpenTelemetry).
Experience in agile software development and common environments such as Jira and Confluence.
Preferred Qualifications
Master's degree or higher in Computer Science or related field.
Experience leading large, strategic, complex engineering projects across multiple teams or collectives.
Knowledge of database modelling, relational and non‑relational data concepts, and SQL; performance tuning and data lifecycle management at scale.
Experience with data visualization frameworks (e.g., D3.js, Plotly, Matplotlib) and building scientific data experiences.
Evidence of embedding operational excellence (runbooks, on‑call discipline, SLOs, post‑incident learning) across teams.
Familiarity with regulated environments and collaboration with compliance/security functions.
Demonstrated ability to lead architectural designs for complex systems, drive cross‑team solutions, and deliver measurable improvements in reliability, performance, and scalability.
Proven ability to debug and resolve complex production issues under pressure; leads incident resolution and drives durable prevention.
Excellent communication skills (verbal and written); can articulate technical risk and decisions to technical and non‑technical stakeholders; collaborates effectively across disciplines.
Track record of mentoring engineers and elevating team standards and ways of working.
Compensation & Benefits
The annual base salary for new hires in this position ranges $170,775 to $284,625 based on location. This role offers an annual bonus, eligibility to participate in our share‑based long‑term incentive program, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.
Why GSK
Uniting science, technology and talent to get ahead of disease together.
Equal Opportunity Employer Statement
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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A leading biotechnology organization seeks a Staff ApplicationEngineer to drive architecture and systems design for data-driven cloud applications. The candidate will deliver high-impact solutions, mentor engineers, and champion operational excellence. Ideal for those with 7+ years in scalable tech and frontend/backend expertise. The role offers a competitive salary range of $170,775 to $284,625, plus bonuses and comprehensive benefits.
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$170.8k-284.6k yearly 2d ago
Founding Full-Stack Engineer for AI Marketing
Asystem 3.6
San Francisco, CA jobs
A well-funded startup in AI marketing is seeking a proactive Full-Stack Software Engineer for a full-time, on-site position in San Francisco. The role involves full lifecycle ownership of features, including design and implementation, utilizing technologies like Node.js, TypeScript, and PostgreSQL. Ideal candidates should have at least 2 years of experience, strong skills in frontend and backend development, and a degree in Computer Science or a related field. This is an excellent opportunity to join an ambitious team and tackle significant challenges in a growing market.
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$98k-138k yearly est. 5d ago
Staff AI Engineer
Tonal 4.1
San Francisco, CA jobs
Who We Are
Tonal is the world's first all in one home gym with a simply stunning design. It has completely revolutionized the fitness journey, with adaptive weight and coaching cues powered by advanced AI technology. We've united a diverse team of experts and decades of research to reinvent strength training, making it more efficient, more effective, and more engaging.
With this in mind, we want to bring that same innovative approach to the workplace. At Tonal, we continue our shift of emphasis by growing our instrumental team. We collectively weave our knowledge and creativity, as we redefine the future of fitness, and Power Progress for our members.
Overview
Tonal is looking for an AI Engineer to help expand Tonal's intelligence across movements, training modalities, and member goals. You'll be joining a high impact team at the intersection of machine learning, biomechanics, and product engineering. You will be responsible for building intelligent systems that adapt workouts, enhance coaching, and personalize progression using the largest strength training dataset in the world.
With millions of workouts collected across diverse users and enriched by data from cameras, cable sensors, and external trackers, Tonal has a one of a kind platform for real world AI. You will help transform this data into production grade models and systems that deliver real time insights, predictions, and feedback to our members.
What You Will Do
Design, implement, and optimize machine learning training pipelines and model serving infrastructure for real time applications
Develop algorithms and ML models that enable personalized training, adaptive coaching, and performance prediction
Fine tune and evaluate transformer based or self supervised learning models using Tonal's multimodal dataset
Build data driven systems that measure training effectiveness, effort, and progression beyond traditional weight based metrics
Prototype, train, and deploy ML models that run efficiently at scale or on device
Collaborate cross functionally with Exercise Science, Product, and Software teams to deliver intelligent features that improve the member experience
Contribute to the development of automated tools for experimentation, model validation, and continuous retraining
Write high quality, maintainable Python code and work closely with backend engineers to integrate models into Tonal's production systems
Mentor teammates and help shape Tonal's growing AI and ML best practices
Who You Are
A self driven AI or ML Engineer passionate about bringing applied machine learning into real world, user facing products
7 plus years of experience in software engineering or applied ML, or 5 plus with a Master's degree, or PhD with 3 plus years of experience
Strong coding skills in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX
Experienced in ML training, evaluation, and deployment workflows such as Sagemaker, MLFlow, Databricks, or similar
Deep understanding of time series modeling, human motion, or sensor based learning from devices such as force transducers, position encoders, IMUs, or cameras
Familiar with MLOps best practices and scalable model training pipelines
Strong communicator who can collaborate with scientists, product managers, and engineers
Track record of delivering performant ML systems from prototype to production
Extra Credit
Experience fine tuning large transformer or multimodal models
Experience deploying models to real time or edge environments such as on device inference
Experience with GoLang, Kotlin or Flutter
Experience with distributed training, mixed precision optimization, or model compression
Interest in fitness, digital health, or intelligent training systems
Background in biomechanics, kinesiology, or human performance analytics
At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don't just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We're dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we're looking for (even if you don't check every single box), send us your application. We would love to hear from you!
Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal's Accessibility Policy and local legislation.
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$108k-182k yearly est. 5d ago
Field Product Engineer San Francisco
Persona 4.3
San Francisco, CA jobs
Persona is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder - but more important - than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly.
We've built Persona to support practically every use case and industry - that's why we're able to serve a wide range of leading companies. For example, Instacart relies on Persona to verify shoppers who onboard onto their platform before delivering groceries to your doorstep. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world's most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live.
We're growing rapidly and looking for exceptional people to join us!
About the Role
Are you a software engineer ready to step out from behind the code and make a direct impact by building lasting relationships with customers? As a Field Product Engineer, you'll have the opportunity to leverage your technical background to address complex business and technical challenges. In this role, you'll develop both business and customer-facing acumen while working directly with team members to deliver impactful solutions. Beyond providing day-to-day support, you'll work closely with product and engineering teams, acting as a vital bridge between technical and customer-facing functions. If you're excited about using your technical skills to drive business growth and make a direct impact, this position is perfect for you.
Best fit for
Someone with 1-3 years of experience in a technical role (e.g., Software Engineer, Solutions Engineer, etc) looking to build lasting relationships with customers
Someone curious to learn the ins and outs of a highly technical product
Someone looking to level up their career alongside some of the brightest minds in the industry
What you'll gain at Persona
Technical challenges: You'll learn how to own the end-to-end delivery of complex solutions, such as design, implementation, quality assurance, and deployment for our customers ranging from startups to Fortune 10 companies.
Dynamic business exposure: You will be exposed to various facets of our growing business. You will collaborate with teams across the organization, including Product, Engineering, and Sales, gaining a broad understanding of how different functions work together.
Business growth partnerships: You will partner with members of our Post‑Sales & Sales teams to help solve problems and drive business results. You'll understand how to prioritize features and solutions that will help us win new business from startups to Fortune 10 companies.
Impactful contributions: You will become an expert in Persona's platform products and future offerings, and directly inform Persona's product roadmap and go‑to‑market strategy. You'll serve as their technical advisor, helping craft solutions to their business needs by leveraging our platform's capabilities and industry best practices.
Mentorship and growth: You will receive 1:1 mentorship directly from a member of our post‑sales/sales team, allowing you to learn from seasoned professionals and develop the skills needed for a successful career in the tech industry.
Professional development: You'll build relationships with Persona's executives, who are former Square, Dropbox, and Coursera alumni. Persona offers an environment heavily focused on learning and development, with opportunities for career advancement across teams.
What you'll bring to Persona
Experience: You have 1-3 years of experience in a technical role (e.g., Software Engineer, Solutions Engineer)
Curiosity: You have a passion for learning and embracing new challenges
Strong interpersonal skills: You have a genuine desire to provide exceptional customer experiences and contribute to a customer's success
Empathy: You can understand and manage the needs of others, and build an environment where others feel understood
Outstanding verbal and written communication skills: You can effectively convey complex concepts to different audiences
A growth mindset: You have a demonstrated love for learning and adaptability to ambiguity. You are eager to give and receive constructive and positive feedback, fostering a collaborative and supportive environment
Willingness to travel: You are open to traveling up to 15% of the time for customer engagements
Location and Travel
This is a full‑time position based in our HQ in downtown San Francisco. Our in‑office days are Tuesday - Thursday, with the option to work from home on Monday and Friday. Many associates are expected to transition into full‑time positions after completing placement. This position may also include up to 15% travel.
Full‑time Employee Benefits and Perks
For full‑time employees (excluding internship and contractor opportunities), Persona offers a wide range of benefits, including medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, quarterly mental health days, family planning benefits, professional development stipend, wellness benefits, among others. While we believe competitive compensation and benefits are a critical aspect of you deciding to join us, we do hope you consider why our core values and culture are right for you. If you'd like to better understand what it's like working at Persona, feel free to check out our reviews on Glassdoor.
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$91k-123k yearly est. 5d ago
Sr. AI Engineer
Mursion, Inc. 4.4
San Francisco, CA jobs
About Mursion
Mursion provides an award-winning upskilling platform trusted by top companies to measurably improve employees' interpersonal intelligence and build stronger organizations. Powered by multimodal AI and a unique practice-based approach, our real-world, interactive simulations deliver lasting results. Our solutions are grounded in behavioral science and psychology to build confidence and positive behaviors, and ultimately help reduce the costs of stress. Mursion's product suite includes AI-powered simulations, human reinforcement assessment & coaching, and advanced analytics that lead to measurable skills acquisition.
Mursion is a well-funded Series B startup that is backed by future of work and Edtech investing veterans, like Leeds Illuminate and New Markets Venture Partners. Mursion is the largest simulation company, with more than 800K+ simulations to date and more than 200K users per year, with a growing global footprint. By 2026, we will be delivering 2 million simulations per year.
Who We Want: We seek talented people from diverse backgrounds and experiences, who are inspired by our mission to leverage virtual reality technology to reinvent professional learning, and who are motivated to help Mursion become the premier global platform for virtual simulation training for behavioral skills. We value empathy, curiosity, and constant improvement both in our internal operations and when working with partners and clients. Our employees are most successful when they employ strong collaboration skills, skilled communications, a problem-solving orientation, and demonstrate comfort in an evolving and fast-paced startup environment.
About the role
As a Senior AI Engineer for Real-Time Conversational Agents, you will play a crucial role in developing and deploying the real-time AI systems that power our conversational agents. You'll work primarily with large language models (LLMs), automatic speech recognition (ASR), text-to-speech (TTS), and emerging speech-to-speech models, and you'll use modern agent and real-time frameworks to ship low-latency, production-ready experiences.
We care deeply about model stability, latency, evaluation, and observability, and we're constantly iterating to adopt new foundations and improve our routing and model-hopping strategies.
Responsibilities
Develop and maintain real-time speech-to-speech conversational agents, collaborating closely with product, design, and research teams.
Ship low-latency, high-impact features that directly enhance user experience, with clear performance and product metrics.
Design and optimize STS pipelines that integrate DeepGram, LiveKit/WebRTC, ElevenLabs, OpenAI, VAD, and Lambda-style architectures.
Drive core improvements to our AI infrastructure, including:
Latency and stability optimizations across ASR → LLM/agent → TTS/speech-to-speech pipelines.
Robust error handling, fallbacks, and model hopping strategies across providers and models.
Instrumentation, evaluation, and monitoring for quality, drift, and robustness.
Execute major projects from concept to production, owning design, implementation, rollout, and iteration based on real-world feedback.
Collaborate with data scientists, software engineers, and product managers to translate requirements into measurable AI features tied to business outcomes.
Preprocess and analyze large multimodal datasets (audio, transcripts, interaction logs) to extract features and insights for model evaluation and improvement.
Implement and optimize algorithms for performance, scalability, efficiency, and cost, particularly in real-time streaming environments.
Monitor and maintain models and systems in production, with attention to:
Latency budgets and tail performance
Stability, load, and failure modes
Continuous evaluation and A/B testing
Stay up-to-date with the latest in generative AI, speech, and real-time systems (e.g., new speech-to-speech models, WebRTC and streaming advances) and drive integration where it makes sense.
Contribute to model fine-tuning and adaptation work (e.g., custom LLM/alignment, TTS/ASR domain adaptation) where it materially improves product quality, while prioritizing real-time reliability and UX.
Participate in code reviews, testing, and debugging to ensure high-quality, maintainable deliverables.
Qualifications
4+ years of experience as a Machine Learning Engineer, AI Engineer, or related role.
Proven experience developing and deploying ML/AI capabilities into production and serving real users.
Strong programming skills in Python. You should be an expert in Python.
Solid understanding of core MLOps and software architecture for modern ML-based applications (CI/CD, monitoring, rollback strategies, feature flags, etc.).
Strong grasp of data structures, algorithms, and statistical methods.
Experience with real-time or streaming systems (e.g., WebRTC, LiveKit, low-latency APIs, event-driven/Lambda architectures) or a strong desire to work in this space.
Excellent problem-solving skills and the ability to work both independently and collaboratively.
Strong communication skills for working with cross-functional teams.
Strong candidates will have
Bachelor's or Master's degree in Computer Science, or a related field.
A lot of enthusiasm for applying AI to real business problems and product use cases.
Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
Experience with LLMS, NLP, speech technologies (ASR/TTS/VAD), conversational agents, and/or reinforcement learning.
Familiarity with model fine-tuning, evaluation frameworks, and A/B testing for model and routing changes.
Experience with DevOps practices and tools for CI/CD.
Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes).
Exposure to model routing/model hopping across providers and versions to balance cost, quality, and latency.
Competitive Salary, bonus eligibility and equity
401K, Flexible PTO
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k)
Life Insurance (Basic, Voluntary & AD&D)
Parental Leave
Short Term & Long Term Disability
Work From Home
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$131k-182k yearly est. 5d ago
Senior AI Engineer - Real-Time Conversational Agents (WFH)
Mursion, Inc. 4.4
San Francisco, CA jobs
A leading tech company in California is seeking a Senior AI Engineer for Real-Time Conversational Agents. You'll develop and deploy advanced conversational AI systems focusing on stability and low latency. Key responsibilities include monitoring model performance and collaborating with cross-functional teams to enhance user experience. The ideal candidate has a strong background in machine learning, programming in Python, and experience with real-time systems. This role offers competitive salary, benefits including health care, and flexible PTO.
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$131k-182k yearly est. 5d ago
Senior Mobile Engineer: Flutter + Native Apps
Tonal 4.1
San Francisco, CA jobs
A cutting-edge fitness technology company in San Francisco is seeking a passionate Senior Mobile Developer to join their team. You will play a critical role in developing the mobile application for an intelligent personal trainer. The ideal candidate has over 5 years of experience, is proficient with Flutter, and has extensive knowledge of both iOS and Android platforms. Collaboration with cross-functional teams to deliver high-quality solutions is essential. If you love solving complex problems and thrive in a fast-paced environment, we encourage you to apply.
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A tech-focused marketing automation company in San Francisco is seeking a backend software engineer to build robust systems. The ideal candidate has hands-on experience in Golang, Kafka, and PostgreSQL while fostering strong customer relationships. This in-person role offers a unique opportunity to work closely with clients, ensuring rapid development and direct feedback in a fast-paced startup environment.
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$116k-155k yearly est. 4d ago
Senior Backend Engineer
Conversion 4.2
San Francisco, CA jobs
About Us
Conversion is building the AI-native marketing automation platform for modern software companies. Today, marketing is stitched together from outdated software, enrichment tools, and disconnected workflows. Funnels are broken. Messaging is misaligned. Most teams are flying blind.
We're fixing that. Conversion lets growth teams build and automate their entire go-to-market motion in one place. From acquisition to activation to retention, it's all managed in a single interface: fast, personalized, and powered by AI.
We've raised over $28 million from top firms such as Abstract Ventures, True Ventures, and HOF Capital. We're at $5M+ ARR, growing quickly, and powering go-to-market for 4000+ customers.
We're a lean, high-performing team in San Francisco. If you're excited about building creative, modern, product-led marketing and doing your best work alongside world-class teammates; we'd love to meet you.
Over $28M in funding
$0 to $6M ARR in under 12 months, 4000+ customers
Elite team from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, Linkedin, Microsoft, and more
About the Role
Hey there! James here đź‘‹, co-founder and CTO at Conversion. Just wanted to share my thoughts on the perfect candidate we're looking to join our engineering team.
First off, I want to stress the technical difficulty and scale of what we're building here at Conversion. The reason marketing automation platforms haven't seen a new player in decades is because building one is hard. Our platform needs to handle gigabytes of data syncs per customer with the utmost reliability, coordinate complex workflows that automate mission critical "go-to-market" processes, handle form submissions that directly generate revenue for customers, and serve high delivering emails to millions of our customer's recipients.
With that being said, here's what we're looking for in a backend software engineer to join our core team:
Product focused: There is quite a bit of features that go into a marketing automation platform, and so we're looking for folks that can own entire products and scope out, design, and build features end to end. We believe the best PMs are engineers who understand the pain point, since they can best evaluate both the benefit and the cost of building a feature.
P.S. if you prefer building the systems that power our infrastruture, check out our Platform Engineering role!
Love building for customers: We at Conversion are extremely close with customers- every customer gets their own Slack channel in our organization for faster communication, and we add every engineer to the channel to directly answer questions, fix bugs, and build features! You feel the urgency much more when you hear it directly from the end user.
Intellectually curious: Conversion engineers are group of bright-eyed and constantly curious individuals, who love debating database designs (or if we'd win in a fight against an ostrich) at lunchtime.
This role is in-person 5 days/week in San Francisco.
You Might Be a Good Fit If You
Have a few years of relevant industry experience building robust and reliable systems
Have a startup mindset - Scrappy, intelligent, and entrepreneurially minded individuals interested in joining a fast paced startup and looking for early ownership and growth
Have experience with our tech stack: Golang in the backend, a job queuing system with Kafka, PostgreSQL as our database and cloud hosting with GCP
You Might Be a Great Fit If You
Often on tech Twitter
Track record of side projects, apps, hackathons. Our engineers have built a live streaming security system for their parent's new house, a database from scratch, a better "Splitwise" app, and hosted our Minecraft server, all while at Conversion!
Useful links
Website: **********************
Learn more about our company culture here: **********************careers
Check out out this Next Play article about our team! *********************************************************************
Engineering blog: **********************blog
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$116k-155k yearly est. 4d ago
Staff ML Engineer: Multimodal Oncology Foundation Models
Tempus, Inc. 4.8
Chicago, IL jobs
A leading healthcare technology company is seeking a Staff Machine Learning Engineer to architect and maintain critical data infrastructure for its advanced AI models. This role involves managing multimodal data processing and optimizing large-scale data pipelines. Ideal candidates will have 8+ years of experience and a Master's degree in a related field. The position is based in Chicago and offers a salary range of $170,000 - $210,000.
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$65k-102k yearly est. 1d ago
Solutions Engineer
Adapt 4.0
San Francisco, CA jobs
Adapt is the AI computer for your business. Our mission is to make companies instantly AI-native by enabling teams to ask questions, get trusted answers, and take action across all their tools. We connect deeply with the services teams use every day-from Slack and GitHub to Salesforce and Notion-automating complex workflows and freeing humans for strategic work.
About the Role
The Solutions Engineer ensures companies can instantly become AI-native using Adapt. They act as technical thought partners to operators, helping them design and deploy complex workflows that automate their most critical business processes. They bridge the gap between our platform's capabilities and our customers' unique operational needs.
We are seeking a product-minded Solutions Engineer to accelerate the adoption of Adapt within the startup ecosystem. You will work with some of the world's most innovative companies, guiding them from initial onboarding to full-scale automation of their operations. You will not just support the product-you will architect the "Ask, Understand, Act" workflows that allow lean teams to punch above their weight.
You will collaborate closely with Sales, Product, and Engineering to deliver high-fidelity feedback from the field, shaping the future of our universal intelligence platform.
In this role, you will:
Architect AI Workflows: Partner with startup founders to map their manual processes and translate them into automated Adapt workflows across tools like Linear, Salesforce, and Snowflake.
Drive Technical Success: Lead hands‑on implementation sessions, ensuring customers successfully connect their data sources and achieve "instant action" capabilities.
Scale the Ecosystem: Create repeatable playbooks, template libraries, and technical guides that enable the broader startup community to self‑serve and innovate on Adapt.
Shape the Product: Synthesize technical requirements and edge cases from early‑stage customers to drive prioritization in the Product and Engineering roadmaps.
Build Custom Solutions: Prototype and deploy custom connectors or scripts to solve novel customer challenges, demonstrating what's possible with the Adapt platform.
You'll thrive in this role if you:
Have 5+ years of experience as a Solutions Engineer, Software Engineer, or Technical Founder.
Have a deep understanding of the B2B SaaS stack (CRM, Data Warehouses, DevTools) and how they interoperate.
Are a "builder" who loves hacking on new tools and automating your own workflows.
Can communicate complex technical concepts to both engineering leaders and non‑technical founders.
Operate with high urgency and thrive in an ambiguous, fast‑paced startup environment.
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$82k-113k yearly est. 5d ago
Lead Frontend & Full-Stack Engineer - Next.js Pro
23Andme 4.5
Palo Alto, CA jobs
A leading consumer genetics company is seeking a Senior Software Engineer focused on frontend technologies. The role involves leading the Next.js platform architecture, mentoring junior engineers, and integrating with backend systems using Python/Django. Ideal candidates should have a strong expertise in JavaScript, React, and AWS services. This full-time position is based in Palo Alto, California and offers a competitive salary ranging from $180,000 to $250,000 annually.
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$180k-250k yearly 1d ago
Senior Mobile Engineer - Flutter for AI Health Platform
Leona 4.0
San Francisco, CA jobs
A healthcare technology startup located in San Francisco is looking for an experienced software engineer to enhance their doctor-patient communication platform. The ideal candidate will have over 6 years in mobile development, with significant experience in Flutter, and possess a deep understanding of user experience and performance optimization. Join a mission-driven team that values innovation and collaboration, and help shape the future of healthcare communication.
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$117k-174k yearly est. 1d ago
Manufacturing Engineer (CSV)
Mentor Technical Group 4.7
San Francisco, CA jobs
Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America.
Responsibilities
Engineering Experience in Medical Device Industry
Problem Solving Knowledge (Yellow or Green Belt knowledge)
Responsibilities may include the following and other duties may be assigned.
Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling.
Designs arrangement of machines within plant facilities to ensure most efficient and productive layout.
Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance.
Adapts machine or equipment design to factory and production conditions.
May incorporate inspection and test requirements into the production plan.
Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality.
Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques.
Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques.
Ensures processes and procedures are in compliance with regulations.
Qualifications Requirements/Knowledge/Education/Skills
BBA in Engineering
Knowledge in CSV
Problem Solving Knowledge (Yellow or Green Belt knowledge)
Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
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$85k-111k yearly est. 5d ago
CSV Manufacturing Engineer | Life Sciences & Med Device
Mentor Technical Group 4.7
San Francisco, CA jobs
A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico.
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$85k-111k yearly est. 5d ago
CSV Manufacturing Engineer | Life Sciences & Med Device
Mentor Technical Group 4.7
Boston, MA jobs
A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico.
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$73k-93k yearly est. 5d ago
Manufacturing Engineer (CSV)
Mentor Technical Group 4.7
Boston, MA jobs
Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America.
Responsibilities
Engineering Experience in Medical Device Industry
Problem Solving Knowledge (Yellow or Green Belt knowledge)
Responsibilities may include the following and other duties may be assigned.
Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling.
Designs arrangement of machines within plant facilities to ensure most efficient and productive layout.
Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance.
Adapts machine or equipment design to factory and production conditions.
May incorporate inspection and test requirements into the production plan.
Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality.
Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques.
Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques.
Ensures processes and procedures are in compliance with regulations.
Qualifications Requirements/Knowledge/Education/Skills
BBA in Engineering
Knowledge in CSV
Problem Solving Knowledge (Yellow or Green Belt knowledge)
Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
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$73k-93k yearly est. 5d ago
AI Engineer - Shape Next-Gen AI Systems (SF/NYC)
Pathwork 3.7
San Francisco, CA jobs
An innovative insurance technology company is seeking an AI Engineer to lead the development of cutting-edge AI systems. The role requires 5-10 years of experience, focusing on transforming prototypes into impactful products. Ideal candidates will have a strong background in AI system development, full-stack capabilities, and experience shipping products. You will work closely with founders in a collaborative environment, contributing to meaningful projects within a vibrant culture and hybrid work model.
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$96k-128k yearly est. 5d ago
Senior Backend Engineer - Genomics Platform
23Andme 4.5
Palo Alto, CA jobs
A leading genetics research organization in Palo Alto seeks a Senior Software Engineer to design and maintain scalable services and backend APIs. Join a collaborative team passionate about genetic discovery, focused on ensuring reliable operations. Ideal candidates have a B.S. in Computer Science and five years of experience, particularly with AWS and Python. The role offers a competitive salary range of $165,000 to $215,000, along with a commitment to diversity and inclusion.
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