data engineer

advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai engineering lead Jobs in San Francisco

ai engineering lead

ai research engineer Jobs in San Francisco

ai research engineer

backend engineer, api Jobs in San Francisco

backend engineer, api

backend engineer underwriting

Pylon

<div>About Pylon
America&rsquo;s $13T mortgage market is one of the most important financial systems in the world. It underwrites the middle class and is the mechanism through which millions of families build wealth. But while every other financial instrument has been simplified to an API call, mortgages are still assembled by hand.
We started from zero and created the first vertically integrated mortgage platform that turns origination into a single API.
Publicly traded companies and the country&rsquo;s largest originators are already building on Pylon. Revenue is compounding monthly. We&rsquo;re backed by Peter Thiel, Conversion Capital, QED, Citi, Fifth Wall, and the founders of Ramp, Blend, and Mercury.
Working at Pylon isn&rsquo;t for those seeking comfort. The people who thrive here have high agency, strong opinions, and a track record of delivering outcomes without direction. Many of us are former founders. We move quickly, challenge each other directly, and take full ownership of results. It&rsquo;s hard work, but it will be worth it.
Join us in building America&rsquo;s mortgage rails.<h2 class="jobSectionHeader">
The Team</h2>
We're looking for Back End Engineers to join our Underwriting team. This is the team that takes human judgment out of mortgage origination &mdash; and replaces it with systems that are faster, more consistent, and more accurate than any human process could be.
Mortgage underwriting today is mostly manual. Experts read guidelines, interpret rules, cross-reference documents, and make decisions that determine whether someone gets a home. We're encoding all of that into software. Nobody has fully cracked this yet. The companies that figure it out will define the next generation of lending.
The stakes are real. An incorrectly modeled rule can cost the company tens of thousands of dollars on a single loan. A well-modeled system can help us outcompete everyone in the market.<h2 class="jobSectionHeader">
Here Is What You'll Do</h2><ul><li>
Encode natural language rules into code. You'll work with DSLs and novel techniques &mdash; including AI &mdash; to translate dense regulatory guidelines into executable logic. Think of it as compiling English into a system that makes six-figure decisions.</li><li>
Work side-by-side with mortgage experts. You won't be guessing what the rules mean. You'll pair with people who've spent their careers in mortgage to understand nuance, exceptions, and the &quot;it depends&quot; that makes this domain so hard.</li><li>
Build systems where correctness is everything. This isn't a domain where &quot;close enough&quot; works. You'll design for precision, build robust test coverage, and think deeply about failure modes.</li><li>
Push into uncharted territory. We're applying AI in ways the mortgage industry hasn't seen. You'll help define what's possible &mdash; not just implement what's been done before.</li><li>
Automate complex, regulated processes. Every rule you encode is a step toward a world where mortgages are faster, cheaper, and more accessible.</li></ul><h2 class="jobSectionHeader">
Tech Stack</h2><ul><li>
TypeScript</li><li>
Custom DSLs for rule encoding</li><li>
AI/ML tooling and agentic infrastructure</li><li>
NestJS + GraphQL</li><li>
SQL (PostgreSQL)</li><li>
Temporal.io (workflow orchestration)</li></ul><h2 class="jobSectionHeader">
Who Will Succeed Here</h2>
Someone who:<ul><li>
Is deeply curious</li><li>
Wants to won features from design to development to deployment to maintence</li><li>
Is willing to put the work in to solve the hardest of problems</li></ul>
Location: Palo Alto , CA Base Salary Range: $140,000/yr to $220,000/yr + Equity + Benefits
Compensation Range: $130K - $220K</div>

Backend Engineer, Underwriting

Medallion

<div>
 
 About Medallion:
 
 
 
 At Medallion, we believe healthcare teams should focus on what truly matters - delivering exceptional patient care. That&rsquo;s why we&rsquo;ve built a leading provider operations platform to eliminate the administrative bottlenecks that slow healthcare organizations down. By automating licensing, credentialing, payer enrollment, and compliance monitoring, Medallion empowers healthcare operations teams to streamline their workflows, improve provider satisfaction, and accelerate revenue generation, all while ensuring superior patient outcomes.
 
 
 As one of the fastest-growing healthcare technology companies - ranked #3 on Inc. Magazine&rsquo;s 2024 Fastest-Growing Private Companies in the Pacific Region, #5 on LinkedIn's 2024 Top US Startups, a Glassdoor Best Place to Work in 2024 &amp; 2025, and featured on The Today Show - Medallion is revolutionizing provider network management. Our CEO, Derek Lo, has been named one of the Top 50 Healthcare Technology CEOs of 2024 by The Healthcare Technology Report. Backed by $130M in funding from world-class investors like Sequoia Capital, Google Ventures, Optum Ventures, Salesforce Ventures, Acrew Capital, Washington Harbour, and NFDG, we&rsquo;re on a mission to transform healthcare at scale.
 
 
 
 About the role
 
 
 
 As a Senior Software Engineer, you will work closely with senior members of the team on a variety of high-impact projects, shipping production code during your very first week, getting steady exposure to a broad set of technologies, and rapidly taking on more responsibility. Expect to achieve massive personal growth and ship features that make a meaningful impact on the healthcare system. All on a supportive and experienced team of engineers, PMs, and designers.
 
 
 This role reports to one of our Engineering Managers and base compensation for this role may land between $170,000-$215,0000. In addition to base salary, Medallion offers equity, and benefits as part of the total compensation package. Many factors are considered when determining pay including: market data, geographic location, skills, qualifications, experience, and level.
 
 
 
 What you'll do
 
 
 
 <ul>
 <li>
 Work on meaningful projects with business impact from your very first day.
 </li>
 <li>
 Scope and lead large projects, addressing ambiguity, creating plans, and ensuring technical excellence
 </li>
 <li>
 Help develop the team roadmap, balancing key technical and product tradeoffs
 </li>
 <li>
 Teach and mentor members of the engineering team, constantly modeling how great software should be developed
 </li>
 <li>
 Work within our tech stack, which includes Python and Django on the backend, and React, JavaScript, and TypeScript on the frontend
 </li>
 <li>
 Write a lot of code :)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Have 4+ years of experience as a software engineer
 </li>
 <li>
 Have worked in multiple functional areas &ndash; frontend, backend, platform, services, data, or cloud infrastructure.
 </li>
 <li>
 Have a strong technical foundation
 </li>
 <li>
 Care deeply about both technical success and product success
 </li>
 <li>
 Are an excellent communicator
 </li>
 <li>
 Get things done
 
 
 </li>
 </ul>
 
 You might also have an interest in:
 
 
 
 <ul>
 <li>
 Are an excellent communicator
 </li>
 <li>
 Get things done
 
 
 </li>
 </ul>
 
 We prioritize candidate safety. Please be aware that official communication will only come from @medallion.co email addresses.
 
 
 
</div>

Senior Software Engineer

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.
 
 
 In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We&rsquo;ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About Handshake AI
 
 
 
 Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring a
 
 Software Engineer
 
 to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
 
 
 This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
 
 
 
 Location:
 
 San Francisco, CA (in-office, 5 days/week)
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and scale core components of RLE environments and infrastructure
 </li>
 <li>
 Design and implement backend systems and data pipelines
 </li>
 <li>
 Translate ambiguous product and research needs into production systems
 </li>
 <li>
 Develop modular, reusable workflow domains
 </li>
 <li>
 Improve reliability, observability, and system performance
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 2&ndash;4 years of experience in backend, distributed systems, or ML-adjacent infrastructure
 </li>
 <li>
 Strong proficiency in ReactJS and TypeScript
 </li>
 <li>
 Solid experience with relational databases (PostgreSQL) and data modeling
 </li>
 <li>
 Experience with cloud infrastructure (AWS/GCP) and CI/CD
 </li>
 <li>
 Ability to independently drive projects from design to production
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with simulation systems or evaluation platforms
 </li>
 <li>
 Exposure to ML systems or working with research teams
 </li>
 <li>
 Experience in fast-moving, operations-heavy environments
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 <ul>
 <li>
 Owns and delivers key RLE components end-to-end
 </li>
 <li>
 Improves system scalability and developer velocity
 </li>
 <li>
 Enables faster launch of new domains with high-quality data
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 The below benefits are for full-time US employees.
 
 
 🎯 Ownership: Equity in a fast-growing company
 
 
 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
 
 
 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching
 
 
 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚 Growth: $2,000 learning stipend, ongoing development
 
 
 💻 Office: Commuting support, free lunch, and gym in our SF office
 
 
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝 Connection: Team outings &amp; referral bonuses
 
 
 Compensation Range: $157.5K - $175K
 
 
</div>

Software Engineer I, RLE

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

SF, NYC, or Remote (USA)
 About the role
 
We are looking for an experienced Cloud Security Engineer to join Hex’s security team. You will be responsible for ensuring the security and resilience of our cloud infrastructure, providing leadership in cloud security practices, and collaborating closely with our infrastructure and engineering teams to secure our cloud-native applications.
 
About the role: 
Design, implement, and manage security solutions and controls for AWS environments and Kubernetes clusters, including appropriate isolation/sandboxing methods for Hex’s RCE-as-a-Service platform
 Build, deploy, and maintain infrastructure-as-code using Terraform, ensuring robust security standards are enforced.
 Conduct security assessments, threat modeling, and audits on AWS cloud infrastructure and Kubernetes deployments.
 Collaborate with development and operations teams to embed security best practices into CI/CD pipelines.
 Monitor and respond to cloud security incidents, identifying root causes and recommending remediation actions.
 Provide expertise in compliance requirements related to cloud security (e.g., SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS).
 Mentor engineers and advocate for cloud security across the organization.
 
About you: 
5+ years of experience in cloud security engineering, with extensive expertise in AWS.
 Demonstrated proficiency with Kubernetes security including cluster hardening, role-based access control (RBAC), network policies, and container vulnerability management.
 Expert-level knowledge and hands-on experience with Terraform.
 Familiarity with AWS security services (e.g., IAM, GuardDuty, Security Hub, CloudTrail, WAF).
 Familiarity with CNAPP solutions such as Wiz
 Familiarity with SIEM solutions such as Panther
 Solid understanding of secure software development lifecycle practices, CI/CD security, and DevSecOps methodologies.
 Relevant certifications such as AWS Certified Security – Specialty, Certified Kubernetes Security Specialist (CKS), and Terraform Associate certification are highly desirable.
 Bonus points for security certifications from SANS or OffSec.
 Excellent problem-solving, communication, and leadership skills.
 Our Engineering team
 
We’re a group of engineers who are forging new ground together and love partnering with Security on our journey to pull ahead of our competition. You can read about how we think through problems as well as how we learn from mistakes on our blog here:
 
How we took down production…
 Beyond Linear Notebooks
 A pragmatic approach to live collaboration
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $200,000 - $265,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

Cloud Security Engineer

Rocket Lawyer

<div><div><div>About Rocket Lawyer</div>
<div></div>
<div>We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.</div>
<div></div>
<div>We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company's history, to capture audiences worldwide. We are expanding our team to take on this challenge!</div></div>
About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You'll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities
<ul>
<li>Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features</li>
<li>Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models</li>
<li>Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products</li>
<li>Research and stay up-to-date with industry trends around generative AI and machine learning</li>
<li>Prototype product features to explore new AI capabilities and write clean, understandable code</li>
</ul>
What you'll need
<ul>
<li>Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.</li>
<li>Basic understanding of machine learning concepts and algorithms.</li>
<li>Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).</li>
<li>Interest or experience working with large language models (LLMs) and generative AI.</li>
<li>Strong programming skills in Python</li>
</ul><h3 class="jobSectionHeader">A bonus if you have</h3>
<ul><li>Experience with backend Python frameworks like FastAPI, Flask, Django, etc.</li>
<li>Familiarity with vector databases.</li>
<li>Additional programming skills in languages such as Java, Kotlin, or NodeJS.</li>
<li>SQL knowledge.</li>
<li>Interest in building user-facing products.</li>
<li>Understanding of microservices architectures and distributed systems.</li>
</ul>
Interview Process
<ul>
<li>Recruiter Phone Screen</li>
<li>Hiring Manager Interview</li>
<li>Team Interview</li>
</ul><div><div><div><div><div><div>Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.</div>
<div></div>
<div>All your information will be kept confidential according to EEO guidelines.
</div><div>You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.</div>
<div></div>
<div>Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship. 
Duration: June 8, 2026 - August 14, 2026, working 40 hours per week</div>
<div></div>
<div><div>Compensation per hour by location:</div>
<ul><li>San Francisco Bay Area, CA: $50.00</li>
<li>California (outside of San Francisco Bay Area): $46.25</li>
<li>Colorado: $42.50</li>
<li>Utah, Arizona, and North Carolina: $40.00</li></ul> 
</div>
</div></div></div></div></div><div></div><div>By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.</div></div>

AI/ML Intern

SF or NYC
 
About the role: 
Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers.
 
What you will do: 
Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities
 Define and implement the future of the AI Engineering function at Hex as we scale
 Hire and mentor an exceptional team of AI Engineers
 Support an exceptional developer and research experience for teams working with AI technology
 Deliver high-performing shared AI infrastructure, including search systems
 
About You: 
You have 4+ years of people management experience and leading high-performing teams
 You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals.
 You are obsessed with driving business outcomes and delivering value to customers
 You are rigorous but pragmatic, balancing good experimental design with early-stage agility
 You are a strong communicator and love collaborating with other roles and teams to drive outcomes
 You are a talent magnet, with the ability to attract and retain exceptional AI talent
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $246,000 - $329,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Engineering Lead

Explore 24+ Backend engineer underwriting in San Francisco this May. Find roles across top companies and apply now to boost your career.