advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

backend engineer, api Jobs in San Francisco

backend engineer, api

backend engineer, integrations Jobs in San Francisco

backend engineer, integrations

backend software engineer Jobs in San Francisco

backend software engineer

data infrastructure engineer

Smvsoft LLC

Founding Engineer - Applied AI San francisco, CA (Full time)- In-Office$180k-$230k per annumNO C2CAbout the RoleHiring a world-class Applied AI Engineer to build the core systems behind their automation engine for hardware engineering.This is a deeply technical, high-impact role. You will be among the first technical hires and will own mission-critical systems end-to-end. The problems are ambiguous, the constraints are real, and the expectations are high. If you move fast from idea to production, care deeply about customer experience, and want to build foundational AI infrastructure for the world's most impactful industries, this role is for you.Key Responsibilities<ul><li>Design and implement core workflows and infrastructure for hardware engineering agents, including intelligent context management, novel indexing approaches, and post-training</li><li>Build agents and ML models that can interpret, reason over, and manipulate complex engineering design data, integrating with enterprise-grade engineering tools and systems</li><li>Work closely with customers and the engineering team to deliver AI-powered workflows that are reliable, intuitive, and trusted in production environments</li><li>Prototype rapidly, validate ideas with real users, and ship frequently</li><li>Influence engineering culture, architecture decisions, and the future of the product</li></ul>RequirementsMust-Have<ul><li>Bachelor's or higher in Computer Science, Machine Learning, or equivalent experience</li><li>Strong familiarity with LLM architectures and agent research trends</li><li>Excellent programming skills with experience using ML libraries such as PyTorch, Hugging Face, and W&amp;B</li><li>Experience building production ML or AI systems</li><li>Solid practical experience with search and information retrieval</li><li>Moves fast from idea to production, with a genuine care for customer experience</li><li>Based in or willing to relocate to San Francisco, or an exceptional remote candidate</li></ul>Nice-to-Have<ul><li>2+ years in applied machine learning, backend engineering, or AI infrastructure</li><li>Experience working with machine learning over geometric data, including CAD</li><li>Track record of high-impact contributions or published papers at top-tier AI labs or teams</li></ul>Pay: $180,000.00 - $230,000.00 per yearWork Location: In person

Founding Engineer - Applied AI

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment. 
 
Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast. 
 
As a Software Dev Engineer on the IVS's Data team, you will be responsible for empowering internal teams and IVS customers with the data they need to make key operational and business decisions. We operate petabyte-scale data infrastructure for collecting, processing, and warehousing IVS data. We support streaming and batch pipelines to facilitate analytics, reporting, and ML workloads. We offer analytics tools and data products designed to make it easy and fast for our customers to extract the insights they need from their data. 
 
Key job responsibilities 
<ul><li>Design, implement, and maintain scalable data infrastructure in native AWS</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting</li><li>Work closely with product and analytics teams to understand requirements and deliver high-performance solutions</li><li>Champion best practices for security, compliance, and governance in data infrastructure</li><li>Identify opportunities to optimize performance and cost of data platforms</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem</li></ul> 
A day in the life 
Your primary focus will be empowering customers to succeed with their data by ensuring they can: 
<ul><li>Gather and access data at scale &ndash; Enable seamless data collection and retrieval that grows with their needs</li><li>Extract meaningful insights &ndash; Provide the right tools and capabilities to uncover the answers they're seeking</li><li>Trust their data &ndash; Maintain confidence in the completeness, accuracy, and reliability of their information</li></ul>
Achieving these goals requires close collaboration and strong partnerships with Product and Data Science teams to deliver solutions that truly meet customer needs. 
 
About the team 
Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution from AWS that enables low-latency and real-time video experiences for millions of viewers worldwide. We power engaging live experiences for some of the largest customers in the live video space and continuously push the boundaries of what&rsquo;s possible with interactive video technology.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 165,200.00 - 223,600.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Dev Engineer II, Amazon Interactive Video Service (IVS)

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity<h3 class="jobSectionHeader">
About the Company</h3>
A fast-growing, venture-backed AI company building the training data and evaluation infrastructure that leading frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. One of the fastest-growing companies in its cohort.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: AI training data &amp; model evaluation infrastructure<h3 class="jobSectionHeader">
The Role</h3>
A founding-level role at the intersection of technical execution and strategic leadership. You'll own high-impact initiatives end-to-end &mdash; from requirements through delivery &mdash; managing teams of engineers, data scientists, and ML specialists while shipping production code yourself, and interfacing directly with research teams at leading AI labs.
What you'll be doing<ul><li>
Own end-to-end technical initiatives: scoping requirements, building solutions, managing experts through delivery, and shipping code yourself when it unblocks the team.</li><li>
Design and build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines across multiple concurrent lab contracts.</li><li>
Manage and mentor teams of software engineers, data scientists, and ML specialists; set technical direction and hold the bar for execution velocity.</li><li>
Interface directly with research teams at leading AI labs to translate their needs into technical specs and ensure delivery meets their standards.</li><li>
Debug production issues live under pressure; rapidly context-switch between hands-on engineering, team leadership, and strategic problem-solving.</li><li>
Support the founding team on the highest-impact work &mdash; internal tooling, major contracts, and hiring.</li></ul>
Tech stack: Python; data pipelines, APIs, ML/AI tooling<h3 class="jobSectionHeader">
Requirements</h3><ul><li>
CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects</li><li>
Manage teams of technical experts across software engineering, data science, and machine learning</li><li>
Build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines</li><li>
Drive technical and operational initiatives end-to-end: scoping requirements, building solutions, and managing technical experts</li><li>
Interface directly with engineering and research teams at leading AI labs</li><li>
Support founding team on high-priority technical projects and operational initiatives</li><li>
Proficiency in Python and production-quality code</li><li>
Experience with data pipelines, APIs, or ML/AI tooling</li><li>
Strong leadership experience and communication skills</li><li>
Ability to context-switch rapidly between technical and strategic work</li><li>
Intense work ethic, agency, and drive</li><li>
Competitive nature and track record of exceptional achievement</li><li>
Undergraduate degree from the U.S., Canada, or the U.K.</li></ul><h3 class="jobSectionHeader">
Green Flags</h3><ul><li>
Background in software engineering, ML engineering, AI research, or computer science</li><li>
Experience at top tech company (FAANG, frontier AI lab) or quantitative trading firm</li><li>
Prior startup experience or founding experience</li><li>
Willingness to work long hours and weekends when projects demand it</li></ul><h3 class="jobSectionHeader">
Red Flags</h3><ul><li>
Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.</li><li>
Struggles with ambiguity or lacks examples of owning large, complex projects.</li><li>
Only interested in remote work &mdash; role is strictly in-person.</li><li>
Can't articulate why they want to pivot into AI ops or join a startup now.</li><li>
No experience managing teams or unclear on motivating people toward execution.</li></ul><h3 class="jobSectionHeader">
Why Join</h3><ul><li>
Direct access to the founding team on their highest-priority problems</li><li>
Exposure to leading frontier AI labs; work that powers major contracts</li><li>
Up to $300K total cash comp plus meaningful equity in a fast-scaling company</li></ul><h3 class="jobSectionHeader">
Details</h3><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site &mdash; strictly in-person</li><li>
Compensation: $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</li><li>
Visa sponsorship: None available</li><li>
Employment type: Full-time</li></ul></div>

Strategic Projects Lead - Coding

Handshake

<div><div><h2 class="jobSectionHeader">Location</h2>
San Francisco, CA
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
On-site
</div><div><h2 class="jobSectionHeader">Department</h2>
Marketing
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$196K &ndash; $245K &bull; Offers Equity</li>
</ul><div>For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.</div></div></div>
 <div><div><h1 class="jobSectionHeader">About Handshake</h1>
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. 
<div></div><h1 class="jobSectionHeader">The Role</h1>
Handshake built the eval and human-data infrastructure that frontier AI labs rely on to make their models better. We're now pointing that same infrastructure at the enterprise &mdash; helping Fortune 500 companies in banking, insurance, retail, and legal build the eval and improvement loops their AI agents need to work safely in production. This is the founding marketing role for that business &mdash; and at its core, a product marketing role: positioning, technical narrative, and sales partnership come first, with reporting into a team built by former Palantir go-to-market leadership and direct visibility to company leadership. If this line of business becomes what we expect it to, this founding role grows into a team you build and lead.
<ul><li>Own positioning and messaging end-to-end &mdash; define the ICP, build the competitive narrative, and stand up the messaging architecture everything else runs on
</li><li>Translate technical proof points (evals, RL environments, model behavior) into content that credibly reaches technical buyers: POVs, case studies, executive bylines, sales narrative
</li><li>Build sales enablement from scratch &mdash; pitch decks, battlecards, objection handling &mdash; for a sales team currently working without a CRM or existing collateral
</li><li>Partner on the front line with sales and a deployment strategist/solutions architect &mdash; joining demos and discovery calls to close knowledge gaps in real time as the team ramps
</li><li>Shape account-based, vertical-specific motions (banking, insurance, retail, legal) in partnership with field and growth marketing, who will already be staffed and running events by fall
</li><li>Stand up a minimum-viable digital presence (microsite/landing pages) with support from web dev
</li><li>Use AI tooling aggressively to operate above your weight class &mdash; this function doesn't have the headcount yet for a traditional team structure
</li></ul><h2 class="jobSectionHeader">You Have</h2>
<ul><li>7+ years in B2B marketing with a strong product marketing foundation &mdash; this is a PMM-first role, not a generalist growth or demand gen seat
</li><li>Experience partnering with enterprise sales in a high-ACV, complex technical sales motion &mdash; comfortable joining live demos and discovery calls, not just producing materials from a distance
</li><li>Gone zero-to-one before: launched a product, built a function, or served as a founding/solo marketer at an early-stage company
</li><li>Sold complex technical solutions into traditional, non-tech Fortune 500 enterprises (banking, insurance, retail) rather than exclusively tech buyers
</li><li>Strong writer and storyteller who gets fluent in genuinely technical material fast
</li><li>Operates independently with real agency in ambiguous, fast-moving environments &mdash; this team is early and self-directed, without a lot of hand-holding infrastructure yet
</li></ul>Bonus points:
<ul><li>Came up at a large, structured company (Salesforce, Google, etc.) before making the jump to a founding marketing role at an AI or technical B2B startup
</li><li>Fluent in AI tooling as a way of multiplying personal output across content, research, and competitive intel, rather than just a topic you market
</li></ul><h2 class="jobSectionHeader">We Offer</h2>
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
Remote &amp; Office: Internet, commuting, and free lunch/gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings &amp; referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
Compensation Range: $196K - $245K</div></div>

Director of Marketing, Enterprise AI

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $180,000&ndash;$220,000 + competitive equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech<h2 class="jobSectionHeader">
The Role</h2>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.
What you'll be doing<ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul>
Tech stack: Not specified<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $180,000&ndash;$220,000 + equity</li><li>
Visa sponsorship: O-1, OPT</li><li>
Employment type: Full-time</li></ul></div>

Software Engineer, RL Environments

Arcade Food Theatre

<div>Everyone's building AI agents, but almost nobody gets them to production.
Building an impressive demo is easy. Building an AI agent that can securely take action inside enterprise systems is hard. The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.
Arcade is the MCP runtime that gives agents the power to do both seamlessly. We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did. That's what makes AI safe to turn loose: real actions, on real systems, already shipping inside Fortune 100 companies.
The Revolution Needs You
Every AI app needs agentic &quot;tools&quot; - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog and tool-calling platform that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big.
Why This Is The Opportunity of a Lifetime<ul><li>
Traction: Real deployments with Fortune-100 customers like Morgan Stanley and Open Table</li><li>
Founder-Market Fit: Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone.</li><li>
Dream Team: We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.</li><li>
Perfect Timing: Every enterprise is racing to put agents in production - almost none get there. The problem isn't better models, it's proving which agent can take which action, on behalf of which user, against which system. That's us.</li><li>
Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.</li><li>
Backed By The Best: Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro. Our earlier investors have also backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.</li></ul>
The Challenge
The number of deployed Arcade customers is growing rapidly, and after a deployment goes live, someone needs to own everything that happens next. Right now that's ad hoc. We need a leader to build our support function from zero - on a product that looks nothing like typical SaaS. To help a customer succeed, you&rsquo;ll need to understand MCP, OAuth, SSO, tool-calling, and cloud infrastructure. Nobody has been debugging agent authorization at enterprise scale long enough to write the playbook for it. That bar is why Arcade is becoming core infrastructure inside Fortune-100 companies, and it's why this role matters more here than it would anywhere else.
You'll be our first support hire and own the team&rsquo;s growth and processes. For the first several months you'll be doing the L2 support work yourself while you grow the team and build the function. That&rsquo;s how you&rsquo;ll earn the pattern recognition that makes everything you design afterward correct instead of theoretical. This will include not only helping customers, but also improving our docs, configuring agentic support &amp; automations, setting SLAs, and defining escalation paths that let the team scale sub-linearly as customers grow. Do it right and support becomes a product in its own right - fast, technical, and a direct input into what we build next. You&rsquo;ll be reporting to the Head of Product because you'll have some of the strongest signals about what we should build next and we want you sitting right inside the conversation.
What You'll Do<ul><li>
Build the support function from scratch: stand up L0 (docs), L1 (AI &amp; automations), and define the routing, SLAs, and escalation paths up to FDE (L3) and Engineering (L4).</li><li>
Own L2 support: be the human escalation point for real technical issues - Okta/SSO not working, tools not getting called correctly by the LLM, gateway and user-source configuration, auth edge cases.</li><li>
Grow and lead the team. Use your experience to scale a world-class support org that customers rave about and sets the technical bar for what a support organization looks like.</li><li>
Automate aggressively so support does not need to scale with customer count. An AI-first approach is central to how you'll work.</li><li>
Partner with FDE: take over as primary customer contact after first deployment so FDE can move to the next customer; over time, absorb &quot;standard&quot; onboarding and cluster setup - especially for marketplace (AWS/Azure) deployments to make that experience seamless.</li><li>
Close the loop with Product and Engineering: turn recurring tickets and friction into prioritization signal and product fixes.</li></ul>
Required Skills<ul><li>
You've built or led a support team for a technical, B2B product.</li><li>
Strong technical fluency in infrastructure and auth - OAuth, SSO/SAML, APIs and tool-calling, cloud deployment concepts. You can debug alongside a customer, not just triage.</li><li>
A player-coach mindset: energized by doing hands-on support with customers and building the process behind it.</li><li>
Track record designing SLAs, ticket routing, and escalation in a way that balances customer empathy with business reality.</li><li>
Background in developer, infrastructure, or auth products, and the MCP/AI-agents ecosystem.</li><li>
AI-pilled: you reach for AI and automation to move fast and keep the customer experience quick.</li></ul>
Bonus Points<ul><li>
Experience supporting self-hosted enterprise customers.</li><li>
Hands-on with modern support tooling like Pylon.</li><li>
Experience with cloud marketplace deployments (AWS/Azure).</li><li>
San Francisco based (or open to relocating).</li></ul>
Join The Movement
We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution.
If you want to look back in 5 years and say, &quot;I helped build that&quot;, then we want to talk to you. Ready to make AI actually useful? Apply now!
Compensation Range: $205K - $250K</div>

Head of Support Engineering

Explore 52+ Data infrastructure engineer in San Francisco this August. Find roles across top companies and apply now to boost your career.