Data Engineer jobs at Colgate-Palmolive - 1514 jobs

A technical services support company is seeking Junior to Senior Level Data Scientists to join their team across various locations in the U.S. Candidates will develop analytics applications, apply machine learning, and visualize data findings. Required qualifications include education or extensive experience in relevant fields, along with security clearance. Comprehensive benefits package included. #J-18808-Ljbffr

A leading global water solutions company is seeking a Sr. Client Solutions Architect. This role involves supporting the adoption of their data analytics platform by guiding customers through technical processes and delivering tailored demonstrations. Candidates should have a Bachelor's degree in a related field along with 3+ years of experience in water/wastewater operations or related areas. The estimated salary range is $120,000 to $150,000, plus a bonus, with an attractive benefits package. #J-18808-Ljbffr

A cutting-edge data analytics firm in San Francisco is seeking a full-stack engineer to enhance user experiences and integrate AI tools within their platform. You will work on innovative projects that shape data interactions, collaborate with teams on product initiatives, and tackle UX challenges. Ideal candidates should possess 3+ years of software engineering experience, proficiency in React and Typescript, and a strong desire to work in AI development. This position offers a competitive salary and benefits, with a hybrid work model. #J-18808-Ljbffr

Who We Are Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products-without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend-but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today's consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we're building a world-class team to redefine how people pay-and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we'd love to meet you. The Team The Data Engineering team at Imprint is responsible for building and scaling the data infrastructure that supports product development, analytics, operations, and machine learning across the company. We own the pipelines, platforms, and processes that empower our stakeholders to trust and act on our data. The Role As our Staff Data Engineer, you'll architect our data platform while solving our most complex technical challenges. You'll build the foundation for Imprint's next decade of growth: scaling infrastructure for explosive expansion, delivering insights that drive million-dollar decisions, enabling bulletproof partner data sharing, and transforming how every team leverages data. Join us in creating a platform that doesn't just meet today's needs-but anticipates tomorrow's possibilities. What You'll Do Build & Scale Infrastructure Architect our next-generation data platform, optimizing Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise scale Design secure, compliant partner data delivery systems via Snowflake shares, S3/SFTP integrations, and Marketplace listings Create mission-critical financial reporting pipelines with exceptional accuracy and reliability Drive Technical Excellence Establish company-wide data standards for modeling, lineage, contracts, and orchestration Champion data reliability, observability, and trust across all systems Make strategic technology decisions that balance innovation with pragmatism Lead & Mentor Elevate engineering practices across Analytics, Data, and Engineering teams Conduct architecture reviews and build reusable frameworks Share expertise through documentation, templates, and hands-on guidance What We Look For 10+ years of experience in data engineering or related fields, with proven experience owning platform-level architecture and strategy. Deep expertise in Snowflake, dbt Cloud, Change Data Capture frameworks, orchestration tools (Airflow, dbt Cloud), and reverse ETL. Strong background in external data sharing and partner integrations, including Snowflake data shares, S3/SFTP pipelines, and Marketplace listings. Proven ability to design and implement data governance and observability systems, including data contracts, lineage tracking, anomaly detection, and automated monitoring. Strong engineering skills in SQL and Python, emphasizing testing, CI/CD, and maintainability in complex data systems. Reputation as a mentor and technical authority who elevates the technical quality and rigor of peers and teams. Exceptional communication skills and the ability to influence technical and business leadership across multiple departments. Perks & Benefits Competitive compensation and equity packages Leading configured work computers of your choice Flexible paid time off Fully covered, high-quality healthcare, including fully covered dependent coverage Additional health coverage includes access to One Medical and the option to enroll in an FSA 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together. #J-18808-Ljbffr

A leading FinTech company in San Francisco is seeking a Staff Data Engineer to architect a next-generation data platform, optimize systems, and mentor teams. The ideal candidate has over 10 years of experience in data engineering, deep expertise in Snowflake and dbt Cloud, and strong skills in SQL and Python. Join us to shape the future of co-branded financial products while working in a dynamic, inclusive environment. #J-18808-Ljbffr

Job ID 2026-13522 # of Openings 1 Category Information Technology Benefit Type Salaried High Fringe/Full-Time LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health & Fitness (H2F) initiative as a member of the Analytics functional team within the H2F Program Support Team. The Data Engineer is responsible for designing, building, and maintaining data pipelines and data services that enable scientific analysis, analytics, and user engagement activities within the Holistic Health and Fitness Management System (H2FMS). This role focuses on data ingestion, transformation, storage, and accessibility, ensuring that data supporting research, analytics, and decision support is reliable, well-structured, and available for authorized use. The Data Engineer works closely with the Technical Project Manager, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, data scientists, and software teams to translate analytic and research requirements into scalable data solutions under Government direction. This role does not set independent data policy or analytic strategy. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Design, develop, and maintain data ingestion and transformation pipelines supporting H2FMS analytics and research use cases. Integrate data from multiple sources, including surveys, wearable and performance data, health and injury datasets, and operational systems as directed. Ensure pipelines are reliable, scalable, and support downstream analytic and reporting needs. Support development of analytic data models optimized for reporting, dashboards, and advanced analytics. Work with data governance staff to ensure data models align with approved data definitions and standards. Assist with management of structured and semi-structured data stores used within H2FMS. Enable data access and preparation for data scientists and AI/ML engineers, ensuring data is usable for modeling and analysis. Support feature preparation and data validation activities under Government and senior analytic direction. Assist in troubleshooting data-related issues impacting analytics or models. Support monitoring and resolution of data quality issues, including completeness, consistency, and timeliness. Implement basic validation, logging, and error-handling mechanisms within data pipelines. Coordinate with data governance and analytics teams to address recurring data issues. Collaborate with epidemiologists, research psychologists, and tactical sports scientists to understand analytic data needs. Coordinate with software teams to support integration between data services and application components. Support documentation and communication of data pipeline designs and dependencies. Qualifications Required Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Demonstrated experience building and maintaining data pipelines and data integration solutions. Familiarity with data transformation, storage, and analytics enablement concepts. Experience working with structured and semi-structured data. Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software. Strong problem-solving and communication skills. Ability to obtain and maintain a Secret security clearance. Desired Qualifications Experience supporting analytics or research-driven data environments. Familiarity with cloud-based data services or analytics platforms. Experience preparing data for dashboards, reporting, or AI/ML workflows. Prior experience supporting DoW or federal customers. Location & Travel Duty Location: This position may be performed in a remote or hybrid capacity. Travel: Limited travel to Fort Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement. Target salary range: $101,986 - $170,154 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Job ID 2024-12131 # of Openings 1 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time LMI is seeking an experienced Data Engineer to design, develop, test, and optimize data pipelines and database architectures, with additional responsibilities for creating data visualizations in React. This role will support the development of innovative software solutions that drive AI/ML capabilities for the Department of Defense. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Set up segmented databases to control access to various datasets and data products Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements Self-starter, and eager to learn and work in a team environment Develop intuitive visualizations, dashboards, and reusable User Interface (UI) components using React and the Material UI component library Rapidly create working wireframes based on project specifications for client validation in collaboration with human-centered design Build CI/CD pipelines using client specifications for security and containerized deployments in client environments Manage UI component buildout in conjunction with project management stakeholders using an agile-based project management approach Work with data engineers to outline specifications for APIs Qualifications Bachelor's degree in Computer Science or related field and/or equivalent work experience 3-10 years of experience as a data engineer Experience with: Agile-based development Python, Spark, notebooks Data Bricks or similar environment Effective analytical, conceptual, and problem-solving skills Active DoD Secret clearance required Part-time onsite client support in the Washington, DC metro area Desired Qualifications Active DoD Top Secret clearance The salary range for this position is- $80,000 - $120,000 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Job ID 2024-11991 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Data Scientistto support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists tobuild new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Data Scientist willquery and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala); Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges; Query databases using SQL with structured data and perform statistical analysis; Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations. Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools; Think strategically about how to publish data visualizations and present analytic results; Support business decisions with ad hoc analysis; Qualifications 3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community. 3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory. 3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods. Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization. Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products. Active TS/SCI with polygraph required. #LI-SH1 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp's growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Waymo, and LinkedIn. Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We're building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they're looking for a solution. We've grown revenue 8x year-over-year, and are already serving customers like Guru, Justworks, Together.AI, Flock Safety, Hightouch and more. We're a high energy, high intensity team and we've raised $58M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works. About the role: At Unify, we leverage AI throughout our platform to enable innovative workflows and to power the next generation of GTM. As an AI Engineer, you will bring new AI products from zero to one and build the AI platform at Unify. You will work on agents, retrieval systems, classification, fine-tuning, reinforcement learning, and LLM inference infrastructure. If you are interested in working on production AI systems and want to build cutting edge AI applications used by the best GTM teams, this role is for you. What You'll Do: Ship novel AI projects and features end to end Build and scale AI infrastructure to support production inference Develop and improve engineering processes, tools, and systems to scale AI solutions across Unify Create novel AI capabilities and push the frontiers of Agents Collaborate with frontier labs like OpenAI to test and iterate on features and models before public release What You Need: You have 3+ years of software engineering experience and at least 1 year working in AI A track record of delivering full-stack AI projects, particularly those involving production use cases of LLMs and Agents You think empirically; running experiments and measuring outcomes drives how you develop AI products Experience building backend systems and infrastructure that can support AI-driven products You are customer-obsessed, creative and hungry. You have the ability to take high-level business/product ideas to deployed engineering solutions. About this role: This a salaried position with a target range of $180,000 - $250,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options). This position is onsite in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment. Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact. You'll be at the center of our fast-paced operations, contributing to a culture that values engagement, growth, and teamwork. #J-18808-Ljbffr

About Flow Flow Engineering is building a requirements platform for modern engineering teams, helping them design, build, and verify complex systems in an iterative way. After a recent Series A, the team is scaling the product from thousands of users to hundreds of thousands while holding a high bar on reliability and speed. About the role Flow is hiring a Software Engineer with an infrastructure focus to build and scale the core platform behind Flow. You will own services and infrastructure that let “agentic systems engineers” and product teams rely on Flow in their day-to-day work. You will join a small, senior, high-ownership team that values speed, ownership, and strong fundamentals: ship v1s quickly, learn, and iterate. What you'll do Design, build, and operate backend services and platform primitives that support complex engineering workflows and collaboration at scale. Scale Flow from thousands of users to hundreds of thousands, improving performance, reliability, observability, and security across the stack. Own and evolve CI/CD pipelines, test infrastructure, and internal tooling so the team can ship quickly and safely. Collaborate with frontend and AI engineers to define APIs, data models, and integration points that are robust and easy to evolve. Contribute to architectural decisions and technical direction as the product and customer base grow. About you 3+ years of software engineering experience building and operating production systems in a cloud environment (e.g., AWS or GCP). Strong understanding of systems design, distributed systems, reliability, observability, and security best practices. Experience with containerization and infrastructure-as-code tooling (e.g., Docker, Terraform, or similar). Comfortable owning projects end-to-end in a fast-paced environment and making pragmatic tradeoffs under ambiguity. Collaborative, low-ego, and excited to work closely with product, design, and customer-facing teams. Our stack (infra-leaning) TypeScript, Node.js, and React on the application side (with a strong bias toward type safety). Postgres and other managed cloud services for persistence and messaging. Containers, Terraform (or similar), and a major cloud provider (AWS/GCP) for infrastructure. How we work & values Speed over everything: ship v1s quickly, learn, and iterate rather than chasing perfection. Own, downscope, ship, iterate: clear ownership, smallest real thing, tight feedback loops. Fundamentals done well: simple, repeatable systems that let us move fast without breaking trust. Competitive salary and meaningful equity. Health, dental, and vision coverage. Flexible time off and support for travel to customers when it matters (“get on a plane”). #J-18808-Ljbffr

An innovative tech firm in San Francisco is looking for an AI/ML-focused Software Engineer to develop AI-powered features for managing engineering requirements. This role involves designing workflows for systems engineers, evaluating language models, and maintaining necessary infrastructure. Ideal candidates should possess over 3 years of experience in applied ML and strong software engineering skills. A competitive salary and equity are offered, along with health benefits and a flexible time-off policy. #J-18808-Ljbffr

About Flow Flow Engineering is building an AI-native requirements platform for modern engineering organizations. Flow's vision is to support “agentic systems engineers” and “agentic domain engineers” working alongside AI agents to design and operate complex systems. About the role Flow is seeking an AI/ML-focused Software Engineer to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows-bringing AI into the center of how teams reason about their systems. This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production. What you'll do Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers. Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements. Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production. Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails. Work across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints. Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage. About you 3+ years of experience in applied ML, LLMs, or adjacent fields, with a track record of shipping ML/LLM-powered features in production. Strong software engineering fundamentals, including designing, testing, and operating services at scale in a cloud environment. Hands‑on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns). Familiarity with prompt design, retrieval‑augmented systems, evaluation methods, and safety/guardrail approaches. Ability to reason about tradeoffs between different models, architectures, and deployment patterns and make pragmatic decisions. Comfortable working in a high‑ownership, fast‑paced environment where experiments and iteration are the norm. Our stack (AI‑leaning) TypeScript/Node.js and Python for AI and backend services. Modern LLM APIs and orchestration libraries for building agentic workflows. Postgres and other managed cloud services for data and state. How we work & values Speed over everything: prototype AI workflows quickly, then harden what works. Own, downscope, ship, iterate: one clear owner per feature, from prototype to production. Fundamentals done well: evaluation, observability, and safety are part of the first version, not an afterthought. Competitive salary and meaningful equity. Health, dental, and vision coverage. Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem. #J-18808-Ljbffr

About Flow Flow Engineering is building a requirements platform that makes complex engineering work clear, collaborative, and verifiable. The team is now building a more intuitive, AI‑enhanced product experience that feels like a modern, interactive workspace for systems and domain engineers. About the role Flow is hiring a Frontend Software Engineer to own core user experiences in Flow and bring AI‑powered workflows into a clean, intuitive UI. You will work closely with design, product, infra, and AI engineers to make complex systems engineering concepts feel simple and fast. You will help define how “agentic systems engineers” and domain experts interact with Flow, from requirements views to reviews, simulations, and AI assistance. What you'll do Own major user‑facing surfaces in Flow v3, including interactive requirements views, collaboration and review flows, and AI‑assisted workflows. Implement high‑quality, accessible UI using a modern frontend framework and component system. Integrate AI features into the product in ways that feel natural, interpretable, and helpful to engineers. Partner with design and product to iterate quickly on interaction patterns, prototypes, and new workflows. Help shape frontend architecture, design systems, and performance optimizations as the app and user base scale. About you 3+ years of experience building rich, data‑heavy web applications with a modern frontend framework. Strong experience with React (or similar) and TypeScript, including component design, state management, and testing. A product mindset: you think in terms of user journeys, edge cases, and clarity, not just individual screens. Comfortable collaborating closely with design and product, and giving and receiving feedback through iterations. Willingness to occasionally work across the stack (e.g., refining APIs, wiring up integrations) to ship features end‑to‑end. Our stack (frontend‑leaning) React and TypeScript as the primary frontend stack. Tailwind or a similar utility‑first or component‑driven styling approach. Integration with backend APIs and AI services built in TypeScript/Node.js. How we work & values Speed over everything: ship Flow v3 in slices, not in one big bang. Own, downscope, ship, iterate: you'll own features from idea to shipped UI. Maximum effort, maximum fun: high energy, high ownership, and a team you want to build with. Competitive salary and meaningful equity. Health, dental, and vision coverage. Flexible time off and support for learning, conferences, and great tools. #J-18808-Ljbffr

About Assembled Assembled builds the infrastructure that underpins exceptional customer support, empowering companies like CashApp, Etsy, and Robinhood to deliver faster, better service at scale. With solutions for workforce management, BPO collaboration, and AI-powered issue resolution, Assembled simplifies the complexities of modern support operations by uniting in-house, outsourced, and AI-powered agents in a single operating system. Backed by $70M in funding from NEA, Emergence Capital, and Stripe, and driven by a team of experts passionate about problem-solving, we're at the forefront of support operations technology. The Team Our AI Products Team is building autonomous AI agents that handle the most challenging aspects of customer support and let human agents focus on high-value interactions. After launching the product's go-to-market motion, the Assist product line grew 5x in just 3 months to millions of ARR, with a strong pipeline of deals for even more growth. We're already deploying our systems at leading tech companies like Canva, Patreon, and Babylist, giving us complex real-world scenarios to solve with rapid feedback loops. The engineering challenges are significant: building autonomous agents that can reliably handle customer interactions, designing systems that scale across communication channels, and pushing the boundaries of what's possible with current LLM technology. Operating as an team led by CTO John Wang, we're focused on eliminating low-leverage support work and helping agents send faster, more accurate replies. Examples of what you might work on: Scaling LLMs with Golang Enhancing RAG results with Reciprocal Rank Fusion and Hybrid Search Pioneering new LLM evaluation techniques Responsibilities As a Software Engineer on the AI Products Team, you will: Build foundational new features: Develop product features from the ground up, such as implementing translation capabilities powered by LLMs and intelligent categorization of incoming tickets. You'll help design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface, making powerful tools accessible and easy to use for support agents. Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings. You'll help us leverage implicit knowledge bases like past tickets and macros to improve model performance. Develop LLM Infrastructure: Architect the abstractions that enable the integration of various types of LLMs tailored for different applications. You'll design and implement evaluation and logging systems to monitor performance and build interfaces that expand our platform's capabilities. Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs, how they interact with our product, and how we can improve their lives. Wear many hats: Be versatile in roles - coding, user research, planning, brainstorming, interviewing, and cross-team collaboration. Shape the team culture: Encourage a startup mentality that's all about staying positive, aiming for top-notch product quality, and taking initiative. About You You might be a good fit if you: Have 5+ yearsof experience in software engineering as an individual contributor. Are highly ambitious and driven and set high goals for yourself and others. Put customers first, focusing on real problem-solving and making life easier for support agents. Enjoy fast-paced environments and can quickly adjust when new insights come from customers or prospects. Have a bit of a maverick streak that helps you come up with creative solutions for tough problems. Have made a noticeable impact on small teams and have solid experience contributing in startups or smaller companies. Have worked with LLMs and are excited to dive into them every day. Stay humble and open to feedback, value teamwork, and are always ready to learn and grow. Our U.S. benefits Generous medical, dental, and vision benefits Paid company holidays, sick time, and unlimited time off Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting Paid parental leave Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices 401(k) plan enrollment #J-18808-Ljbffr

Key responsibilities Translate UI/UX designs into high-quality, visually appealing and responsive web applications Develop and maintain frontend and backend systems including API services databases, and server-side logic Optimize applications for maximum speed and scalability Write clean, efficient, and well-documented code, following industry best practices- the Falconer platform will help you! Who you are Degree in Computer Science, Engineering or a related field, or equivalent work experience Minimum of 4 years of experience in developing web-based applications Proficiency in front-end technologies such as HTML, CSS, JavaScript, React, and WebSockets Experience with server-side languages (we'll gravitate towards Python and Node.js) You enjoy hard problems and open-ended assignments Bonus points Hands-on experience with databases (SQL and/or NoSQL) You've developed products with LLMs before (extra if you've already built your own agents) You know your way around AWS or Google Cloud Perks and benefits Generous equity package Competitive salary and benefits 401(k) retirement account The best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude Code, and Linear to help you move fast Our office is in San Francisco, just steps from Caltrain #J-18808-Ljbffr

A tech company in San Francisco is looking for a talented Web Developer to create responsive and visually appealing web applications. You will be responsible for developing both frontend and backend systems, optimizing for performance, and ensuring code quality. The ideal candidate has at least 4 years of web development experience and is proficient in technologies like HTML, CSS, JavaScript, and React. This position offers a generous equity package and competitive salary. #J-18808-Ljbffr

About Omni Omni is a business intelligence and embedded analytics platform that helps customers improve self-service, accelerate AI adoption, and build customer-facing data products. Whether users prefer AI, spreadsheets, SQL, or point-and-click, Omni makes it easy for anyone to explore and act on data - all from the same platform. At the core of Omni's platform is a built-in semantic layer that ensures consistency, trust, and AI readiness. Headquartered in San Francisco, Omni has office hubs in Santa Cruz, Philadelphia, Dublin, and Sydney, with team members around the world. The company has raised $97M in funding from leading investors including ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures. About the Role This role is focused on building interfaces and capabilities for our AI-powered analytics service, giving you the chance to design intelligent workflows and build AI-assisted tools. You'll be working on a team with deep experience in the field, and you'll have the autonomy to prioritize and solve problems by yourself or in collaboration with other members of the team. All software engineers at Omni operate across our technology stack to solve customer problems, and our engineering culture is focused on shipping quickly and iteratively while maintaining high bars for performance and quality. Recent projects include: Full-fledged spreadsheets inside of BI An MCP server for Blobby, our AI chat bot that writes queries within the guard rails of a semantic data model CSV uploads Writing data to Google Sheets Qualifications Strong technical and communication skills 3-10+ years of experience building production software, proficiency in TypeScript or JavaScript Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence Experience using analytical tools (e.g., SQL, Looker, Tableau, Mode, Amplitude, Google Analytics) Nice to have Experience building data products and AI-ready interfaces Familiarity with data warehouses like Snowflake, BigQuery, Redshift Experience with AI/ML integrations or exposure to building AI-assisted features Our stack: TypeScript React with Remix Kotlin / Java AWS Why Join Us We're a passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data Competitive salary & equity package Paid parental leave Health, dental, and vision insurance 401(k) Plan #J-18808-Ljbffr

Now Hiring: Systems Software Engineer II 📍 Phoenix , Arizona | 💰 $108,000 - $135,000 per year 🏢 About the Role We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S. In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions. If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you. ⚙️ What You'll Do Design and program BAS control system databases and graphics for assigned projects. Lead the startup, commissioning, and troubleshooting of control systems. Work with networked systems and diagnose LAN/WAN connectivity issues. Perform pre-functional and functional system testing, including LEED and Title 24 requirements. Manage project documentation, including as-builts and commissioning records. Coordinate with project teams, subcontractors, and clients for smooth execution. Mentor and support junior Systems Software Engineers. 🧠 What We're Looking For 2-5 years of experience in Building Automation Systems or a related field. Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred). Proficiency in MS Office, Windows, and basic TCP/IP networking. Strong organizational skills and the ability to manage multiple priorities. Excellent communication and customer-service skills. Valid Arizona driver's license. 💎 Why You'll Love Working With Us At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive. What we offer: Competitive salary: $108K - $135K, based on experience Employee-owned company culture with a family-oriented feel Comprehensive health, dental, and vision coverage Paid time off, holidays, and 401(k)/retirement plan Professional growth, mentorship, and ongoing learning opportunities Veteran-friendly employer & Equal Opportunity workplace 🌍 About Sunbelt Controls Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance. 👉 Apply today to join a team that's shaping the future of intelligent buildings. #Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers

Who We Are Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products-without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend-but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today's consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we're building a world‑class team to redefine how people pay-and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we'd love to meet you. What You'll Do As the Principal Engineer of this team, your responsibilities will include but not be limited to the following: Technical Leadership and Oversight Define and drive the technical vision and architecture for the lending platform, ensuring alignment with business goals and industry best practices Lead the design and development of scalable, secure, reliable, and high‑performance systems for both co‑branded credit and non‑card lending products Code some of the more complex parts of the system and, by example, create a center of coding excellence in the team. Collaborate with cross‑functional teams, including product management, risk, compliance, and operations, to ensure cohesive and efficient delivery of the platform System Architecture and Design Architect end‑to‑end solutions for lending products, incorporating data security, compliance and performance optimization Evaluate and select appropriate technologies, frameworks, and tools to meet the platform's requirements and future scalability Ensure the system design supports high availability, disaster recovery, and easy maintenance Leading the Team Lead the engineering teams through execution, ensuring adherence to coding standards, security guidelines, and best practices. Oversee the development process, including code reviews, testing, and deployment to ensure high‑quality deliverables Foster continuous improvement and hold the team accountable for upholding the highest standards. Communication and Collaboration Work closely with stakeholders to understand business requirements, translate them into technical specifications, and ensure their successful implementation. Mentor and guide engineering teams, fostering a culture of innovation, collaboration, and continuous learning Communicate effectively with executive leadership, and provide updates on project status, technical challenges, and strategic direction. Innovation Encourage a culture of innovation within the team, promoting experimentation and learning Identify opportunities for innovation and lead initiatives to enhance platform capabilities and competitive edge. Stay abreast of fintech industry trends, and regulatory changes impacting the lending landscape What We Look For 10+ years of experience in software engineering with at least 5 years of experience leading the technical direction of the organization or company Experience designing and building complex financial systems, particularly in the fintech domain Experience designing and implementing a coherent architecture that interacts seamlessly across multiple APIs and system boundaries. Extensive experience with cloud platforms and microservices architecture. AWS preferable Deep experience with building transactional systems using relational databases (e.g. MySQL, Postgres) or No‑SQL databases (e.g. DynamoDB, MongoDB) Production experience with modern engineering and cloud tools Strong proficiency in modern programming languages (e.g., go, java) and frameworks Deep understanding of data security, compliance(e.g.PCI‑DSS), and privacy regulations Excellent communication and interpersonal skills, with the ability to explain technical concepts to non‑technical stakeholders. Strong analytical and problem‑solving skills, with the ability to identify and resolve complex issues Strong sense of ownership, urgency, and drive Bachelor's or Masters Degree in Computer Science, Computer Engineering, or a related field Nice to Have Experience building and launching payment platforms for lending, credit/debit card issuing and processing Experienced in building online and offline systems that encompass the reconciliation of financial data Experience building external, public‑facing APIs is a plus Knowledge of production technologies like Terraform, Docker, and k8s is a plus Perks & Benefits Competitive compensation and equity packages Leading configured work computers of your choice Flexible paid time off Fully covered, high‑quality healthcare, including fully covered dependent coverage Additional health coverage includes access to One Medical and the option to enroll in an FSA 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents Access to industry‑leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let's move the world forward, together. #J-18808-Ljbffr