principal ai engineer Jobs in San Francisco

principal ai engineer

product marketing manager Jobs in San Francisco

product marketing manager

senior product designer, engagement Jobs in San Francisco

senior product designer, engagement

account director (ai / emerging tech) Jobs in San Francisco

account director (ai / emerging tech)

account manager

ai product manager

Anthropic

<div><div><h2 class="jobSectionHeader"><b>About Anthropic</b></h2>
<p>
Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div><h2 class="jobSectionHeader"><b>
About the role</b></h2>
<p>
As a Senior Media Manager at Anthropic, you will lead all paid media for our enterprise business and have key contributions for our broader brand media initiatives. You'll own how Anthropic and Claude reach the people who decide how organizations adopt AI, working within the Brand &amp; Integrated Marketing team to turn commercial objectives into paid media plans that reach executives and consumers at the moments that matter.</p>
<p>
In this role, you'll own the enterprise paid media strategy end to end, including channel mix, budget allocation, campaign architecture, and measurement, across paid social, programmatic, video, broadcast, audio, out-of-home, and trade and industry media. You'll develop a point of view on where our investment belongs and make the case for it with evidence in smart, strategic ways that can be applied to our entire media mix. You'll partner closely with Product Marketing, Growth, Sales, and Marketing Data Science, and you'll manage the agency, vendor, and platform relationships that bring the work to life, bringing both strategic judgment and hands-on rigor to the execution.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li>Own Anthropic's paid media strategy for the enterprise business, from channel mix and budget allocation through campaign execution and measurement</li>
<li>Lead paid media planning and buying across the full channel set (paid social, programmatic, video, broadcast, audio, out-of-home, print, and trade and industry media) reaching the executives and functional leaders who shape how their organizations adopt AI</li>
<li>Partner with brand marketing stakeholders to ensure media learnings drive better decisions across every initiative</li>
<li>Serve as the media point of contact for the enterprise business, partnering with Product Marketing, Growth, and Sales to translate commercial objectives into media strategy</li>
<li>Allocate and optimize the enterprise media budget across channels based on performance data, market dynamics, and strategic priorities</li>
<li>Develop an independent point of view on channel mix and audience strategy, and advocate for it with evidence rather than deferring to agency recommendations</li>
<li>Build a durable understanding of how business decision-makers consume media, and use it to challenge assumptions carried over from consumer planning</li>
<li>Manage agency, vendor, and platform partner relationships day to day, holding partners accountable for strategic alignment and execution quality</li>
<li>Work with Marketing Data Science to build the measurement frameworks that show whether our paid media worked: brand lift, reach and frequency modeling, attribution, and pipeline impact</li>
<li>Present media strategy, performance insights, and recommendations to marketing leadership and cross-functional stakeholders</li>
<li>Track the media landscape, emerging platforms, and competitive activity across the AI industry to identify opportunities before they are obvious</li>
<li>Build and refine planning, execution, and reporting processes that scale as the organization grows</li>
</ul><h2 class="jobSectionHeader"><b>You may be a good fit if you</b></h2>
<ul><li>Extensive experience in paid media planning and strategy, including owning channel mix, budget allocation, and audience strategy for campaigns at meaningful scale on both B2B and B2C brands</li>
<li>Have planned and bought across both upper-funnel and lower-funnel paid channels, and understand how each behaves differently</li>
<li>Bring an independent point of view on where media investment belongs, and can defend it with evidence</li>
<li>Are highly analytical and comfortable using data to inform strategy, optimize campaigns, and demonstrate return on investment</li>
<li>Have managed media budgets and made real trade-offs between competing priorities</li>
<li>Are skilled at briefing agencies well and holding partners accountable for both strategy and execution</li>
<li>Can translate business objectives into actionable media plans, and communicate strategy clearly to technical and non-technical audiences</li>
<li>Work effectively in fast-moving, ambiguous environments and can balance longer-term planning with rapid iteration</li>
<li>Enjoy collaborating across marketing, product, and communications teams</li>
<li>Are excited about Anthropic's mission to develop AI that is safe and beneficial</li>
</ul><h2 class="jobSectionHeader"><b>Strong candidates may also have</b></h2>
<ul><li>Experience planning paid media against business decision-makers in enterprise software, B2B technology, or professional services</li>
<li>Familiarity with the media environments where business audiences actually spend time, including business news, trade and industry media, professional networks, and business podcasts</li>
<li>Background spanning both brand and performance marketing, with an understanding of how media strategy shifts across the funnel</li>
<li>Familiarity with marketing mix modeling, brand lift studies, multi-touch attribution, and other advanced measurement approaches</li>
<li>Experience connecting paid media performance to downstream pipeline and revenue outcomes</li>
<li>Experience with international media planning and navigating diverse market dynamics</li>
<li>Experience building media capabilities and processes at a high-growth company</li>
<li>Understanding of the AI industry landscape, including key audiences, competitive dynamics, and emerging use cases</li>
</ul></div><div><div><div><div><p>
The annual compensation range for this role is listed below.</p>
<p>
For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div></div><p>
Annual Salary:</p><p>
$255,000 - $320,000 USD</p></div></div><div><h2 class="jobSectionHeader"><b>
Logistics</b></h2>
<p><b>
Minimum education: </b>Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience</p>
<p><b>
Required field of study: </b>A field relevant to the role as demonstrated through coursework, training, or professional experience</p>
<p><b>
Minimum years of experience: </b>Years of experience required will correlate with the internal job level requirements for the position</p>
<p><b>
Location-based hybrid policy:</b> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>
<p><b>
Visa sponsorship:</b> We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>
<p><b>
We encourage you to apply even if you do not believe you meet every single qualification.</b> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.<br>
<br>
<b>Your safety matters to us.</b> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.</p>
<h2 class="jobSectionHeader"><b>
How we're different</b></h2>
<p>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>
<p>
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>
<h2 class="jobSectionHeader"><b>
Come work with us!</b></h2>
<p>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. <b>Guidance on Candidates' AI Usage:</b> Learn about our policy for using AI in our application process.</p></div></div>

Senior Media Manager

Descript

<div><h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p>
Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems.</p>
<p>
As more marketing, communications, sales, support, and creative teams adopt Descript, we're investing in the experiences that help people discover what's possible with our product - and connect with the people behind it.</p>
<p>
We're looking for our first Field Marketing Manager to build that program from the ground up.</p>
<p>
This is a builder role. You'll define how Descript shows up in the real world, creating experiences that introduce new audiences to Descript, deepen relationships with customers, and generate pipeline for our growing enterprise business. From executive dinners and industry events to customer meetups, partner activations, and hands-on workshops, you'll create programs that people actually want to attend.</p>
<p>
You'll work closely with Sales, Product Marketing, Customer Success, and Brand to develop field marketing into a repeatable, measurable growth engine.</p>
<p>
If you're energized by building from scratch, love bringing people together, and enjoy balancing strategy with execution, we'd love to meet you.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Build Descript's field marketing strategy from the ground up, including planning, processes, measurement, and annual programming.</li>
<li>Develop and execute integrated field marketing programs that generate pipeline, accelerate opportunities, and strengthen customer relationships.</li>
<li>Own end-to-end execution of in-person and virtual experiences, including executive dinners, workshops, conferences, customer events, roadshows, webinars, and community gatherings.</li>
<li>Partner closely with Enterprise Sales to identify priority accounts, align programs to territory plans, and create experiences that help move deals forward.</li>
<li>Collaborate with Product Marketing, Brand, Demand Generation, Partnerships, and Customer Success to create cohesive campaigns before, during, and after every event.</li>
<li>Build playbooks for event planning, sales engagement, lead follow-up, reporting, and program operations that can scale as the team grows.</li>
<li>Manage budgets, vendors, agencies, venues, and logistics while creating thoughtful attendee experiences that reflect the Descript brand.</li>
<li>Measure and communicate program impact across pipeline, revenue influence, customer engagement, and qualitative feedback to help shape future investments.</li>
<li>Represent Descript at industry events and build authentic relationships with customers, prospects, creators, and partners.</li>
</ul><h2 class="jobSectionHeader"><b>What we're looking for</b></h2>
<ul><li>3-5 years of experience in B2B marketing, with 2+ years of field marketing or event experience. Also open to 4+ years of events agency experience (especially if you have worked with B2B clients).</li>
<li>You've built programs, not just executed them. You enjoy creating structure where it doesn't yet exist.</li>
<li>Experience partnering closely with Sales to drive pipeline and revenue outcomes.</li>
<li>Strong project management skills with exceptional attention to detail&mdash;you can manage dozens of moving pieces without losing sight of the bigger picture.</li>
<li>You're equally comfortable developing a strategy, negotiating with a venue, reviewing event signage, and presenting results to leadership.</li>
<li>You use data to make decisions and know how to measure marketing impact beyond registration numbers.</li>
<li>Excellent communication and collaboration skills with a bias toward action.</li>
<li>Comfortable wearing multiple hats in a fast-moving startup environment.</li>
<li>Willingness to travel approximately 25&ndash;35%.</li>
</ul><h2 class="jobSectionHeader"><b>Bonus points if you have</b></h2>
<ul><li>Experience marketing SaaS products to marketing, communications, creative, or enterprise teams.</li>
<li>Experience building a field marketing function or launching a new program.</li>
<li>Experience with account-based marketing strategies.</li>
<li>Experience producing workshops or educational experiences&mdash;not just traditional events.</li>
<li>A genuine appreciation for storytelling, video, podcasts, AI, or the creative process.</li>
</ul><h2 class="jobSectionHeader"><b>What success looks like</b></h2>
<p>
After your first year, you've:</p>
<ul>
<li>Built the foundation for a scalable field marketing program at Descript.</li>
<li>Established trusted partnerships with Sales and cross-functional marketing teams.</li>
<li>Created a repeatable calendar of experiences that customers look forward to attending.</li>
<li>Developed playbooks that make planning, execution, and follow-up more effective every quarter.</li>
<li>Demonstrated measurable impact on enterprise pipeline, customer engagement, and brand awareness.</li>
<li>Helped define what &quot;field marketing&quot; means at Descript&mdash;not by copying another company's playbook, but by creating one that fits ours.</li></ul><br>
<p></p>
<p>
The base salary range for this role is $145k - $160k/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.</p><p></p><div><h2 class="jobSectionHeader"><b><br>
About Descript</b></h2>
<p>
Descript is building a simple, intuitive, fully-powered editing tool for video and audio &mdash; an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).</p>
<p>
Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company.</p>
<p>
Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult&mdash;we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.</p>
<p>
Descript is an equal opportunity workplace&mdash;we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.</p></div></div>

Field Marketing Manager

Pinterest

<div><div><p><b>About Pinterest:</b></p>
<p>
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.</p>
<p>
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.</p>
<p>
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</p></div><p>
Pinterest is seeking an experienced Staff Data Scientist to join our Finance &amp; Business Operations team. This is a hybrid data-science / applied-AI / product-engineering role inside Pinterest's CFO organization. It sits at the intersection of forecasting and finance analytics, internal tool-building, and AI adoption &mdash; and the person in it is expected to operate across all three.</p>
<p>
The core mandate is to make the CFO org's forecasting and planning work faster, be more rigorous, and more self-serve. In practice that has meant owning a forecasting product end to end (data pipeline through user-facing UI), partnering directly with Finance, BizOps, and Core/Monetization stakeholders to embed it in their workflows, and turning the company's emerging AI platform capabilities into tools that finance teams actually use day to day.</p>
<p>
This is a high-autonomy, high-trust individual-contributor role with broad cross-functional reach.</p><br>
<p></p>
<p><b>
What you'll do:</b></p>
<ul>
<li><b>Own forecasting tooling end to end.</b> Build and maintain the team's primary forecasting workbench &mdash; from the underlying data and forecast logic through the interactive web UI that planners use to create, adjust, and review forecasts. This spans baseline vs. adjusted forecast modeling, scenario/delta workflows, backtesting, and diagnostics (year-over-year and month-over-month seasonality, engagement rates, and similar).</li>
<li><b>Ship product, not just analysis.</b> Design and build user-facing features: chart and visualization work, guided onboarding, history/audit views, region and time-grain filtering, performance optimization, and the kind of polish and bug-fixing that makes an internal tool feel like a real product. Instrument usage (collect and analyze raw logs) and let adoption data drive the roadmap.</li>
<li><b>Drive AI adoption across Finance &amp; BizOps.</b> Take platform-level AI capabilities and turn them into concrete, trusted tools for finance users. Bring structured business cases (not wishlists) to platform/IT partners, pilot new capabilities, and write the enablement material &mdash; walkthroughs, documentation, &quot;where to get started&quot; guidance &mdash; that gets non-technical teams productive.</li>
<li><b>Stay ahead of the AI capability curve.</b> A significant part of this role is forward-looking: continuously read and interpret AI research (papers, model and tooling releases) and translate it into a grounded point of view on what will be possible in the next 6&ndash;12 months. Track the engineering roadmap closely, understand what platform capabilities are landing and when, and connect those dots to concrete opportunities for the CFO org &mdash; so the team builds for where AI is going, not just where it is today.</li>
<li><b>Set AI strategy and guide executives.</b> Turn that capability foresight into strategy: shape the CFO org's AI roadmap, prioritize where to invest, and advise senior leaders and executives on what's real, what's hype, and what to bet on. Communicate complex AI and technical trade-offs in plain, decision-ready terms, and act as a trusted technical advisor in executive conversations.</li>
<li><b>Deliver recurring finance analytics.</b> Support core CFO-org deliverables: budget-vs-actuals (BVAs), variance commentary, executive slide/deck preparation, and metric diagnostics (e.g., MAU and revenue diagnostics), including catching and resolving data-quality issues.</li>
<li><b>Partner broadly and communicate clearly.</b> Work directly with Finance, BizOps, Monetization, and platform/IT stakeholders. Translate ambiguous business questions into tooling and analysis, post clear release notes and stakeholder updates, and run live walkthroughs and training sessions.</li>
<li><b>Set technical and analytical standards.</b> raise the bar on rigor (validation, backtesting, sound metric definitions), make pragmatic build-vs-buy and scope calls, and create artifacts and documentation durable enough to outlive any single contributor.</li></ul><p><br>
<br>
<b>What we're looking for:</b></p>
<ul>
<li><b>Data science &amp; forecasting</b></li>
<li>Strong applied background in time-series forecasting and quantitative analysis: baseline construction, scenario/adjustment modeling, backtesting and forecast-accuracy evaluation, and seasonality analysis (y/y, m/m).</li>
<li>Fluency in turning messy business questions into well-defined metrics and diagnostics; rigorous about metric definitions, data quality, and validation.</li>
<li>Advanced SQL and proficiency in a primary analysis language (Python strongly preferred); comfort working directly with data warehouses and large datasets.</li>
<li><b>Engineering &amp; tool-building</b></li>
<li>Demonstrated ability to build and ship internal web tools, not just notebooks or one-off analyses &mdash; meaningful front-end / full-stack capability (e.g., JavaScript/TypeScript, modern UI frameworks, interactive data visualization).</li>
<li>Practical product-engineering instincts: UX/usability sense, performance debugging and optimization, handling state/data edge cases, and disciplined release hygiene (testing, build/lint, changelogs).</li>
<li>Experience building dashboards and self-serve analytics (e.g., Superset, Tableau, Looker, or equivalent).</li>
<li><b>Applied AI</b></li>
<li>Hands-on experience applying modern AI/LLM tooling to real workflows &mdash; prototyping with AI assistants, agentic/MCP-style tooling, or internal AI platforms &mdash; and a track record of moving from experiment to adopted tool.</li>
<li>Ability to build the business case for AI investment and to drive adoption with non-technical users (enablement, documentation, training).</li>
<li><b>AI foresight &amp; strategy (critical)</b></li>
<li>Demonstrated habit of staying current with AI research and the broader landscape: able to read papers and model/tooling release notes and form a credible, independent view of what will be feasible 6&ndash;12 months out.</li>
<li>Able to interpret an engineering roadmap and reconcile it with where the technology is heading &mdash; translating both into a concrete capability plan for the business.</li>
<li>Strong product/business strategy instincts: prioritizing AI investments, sequencing bets, and distinguishing durable capability from hype.</li>
<li><b>Executive influence</b></li>
<li>Proven ability to advise and guide senior leaders and executives on technical and AI strategy, and to make complex trade-offs legible to a non-technical executive audience.</li>
<li>Comfortable being the trusted technical voice in the room &mdash; framing decisions, managing expectations, and earning credibility with both finance leadership and engineering/platform partners.</li>
<li><b>Scope, ownership &amp; communication</b></li>
<li>Staff-level autonomy: can independently scope, prioritize, and deliver multi-month efforts with minimal direction, and make sound trade-off calls.</li>
<li>Excellent written and verbal communication; can write for executives and for end users, and can run live training and walkthroughs.</li>
<li>Strong cross-functional collaboration across finance, operations, and technical/platform partners.</li>
<li><b>Experience</b></li>
<li>Minimum of 8 years of relevant experience in data science, analytics engineering, or applied ML.</li>
<li>Bachelor's degree in a quantitative field (e.g., statistics, computer science, economics, engineering, math) or equivalent practical experience; advanced degree is a plus.</li></ul><br>
<p></p>
<p><b>
Relocation Statement:</b></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li></ul><br>
<p></p>
<p><b>
In-Office Requirement Statement:</b></p>
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration1-2 times every 6-months and therefore can be situated anywhere in the country.</li><br>
</ul>
<p>#LI-NM4</p>
<p>
#LI-REMOTE</p><div><p><b>
Our Commitment to Inclusion:</b></p>
<div>
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</div>
<div></div>
<div><i>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</i></div></div></div>

Staff Data Scientist, Finance & Business Ops

Instabase

<div><div><p>At Instabase, we're passionate about democratizing access to cutting-edge AI innovation to enable any organization to solve previously unsolvable unstructured data problems in their industry. With customers representing some of the largest and most complex organizations in the world, and investors like Greylock, Andreessen Horowitz, and Index Ventures, our market opportunity is near infinite.</p>
<p>
Instabase offers a consumption-based pricing model where customers can pay only for what they use, aligning directly with the value our products deliver. It empowers our clients to explore our AI Hub platform features extensively, enabling them to uncover crucial business insights. This customer-centric model allows Instabase to glean insights from diverse use cases and behaviors, ensuring we deliver top-tier solutions that provide unmatched advantages for everyday business operations.</p>
<p>
With offices in San Francisco and Bengaluru, Instabase is a truly global company. We are <b>people-first</b>, and we've built a fearlessly experimental, endlessly curious, customer obsessed team who work together and help organizations around the world turn their unstructured data into insights instantly.</p></div><h1 class="jobSectionHeader"><b>
Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents</b></h1>
<h2 class="jobSectionHeader"><b>About Instabase and the Evolution of Our Business Model</b></h2>
<p>
Instabase is the pioneer in helping the world's largest enterprises&mdash;including global banks, insurance leaders, and healthcare giants&mdash;unlock and automate value from unstructured data. Our core platform is the industry standard for reading, understanding, and processing complex, unstructured documents at massive scale.</p>
<p>
As a strategic addition to our current business model, we are building <b>SuperApp,</b> our natively multimodal, stateful AI assistant and autonomous agent platform. SuperApp represents the next evolution of Instabase: moving from passive document extraction to active, self-correcting agentic execution. By combining our enterprise-grade document understanding with secure, real-time sandboxed code execution, SuperApp enables users to not only parse unstructured data but programmatically act on it, write and run execution scripts, orchestrate complex software tools over Model Context Protocol (MCP), and complete open-ended reasoning tasks in a secure environment.</p>
<p>
To lead the engineering team behind this next-generation capability, we are seeking an elite, hands-on <b>Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents</b>.</p>
<h2 class="jobSectionHeader"><b>
The Role: Player-Coach Leadership</b></h2>
<p>
This is an high-impact, low-bureaucracy role designed for a world-class systems engineer and builder. We keep our teams intentionally lean and fast. You will serve as a <b>Player-Coach leading a tight, elite squad of 3 to 5 AI systems engineers</b>.</p>
<p>
At Instabase, we believe managers of small teams should stay close to the metal. Your time will be split:</p>
<ul>
<li><b>60% to 70% Hands-on Engineering:</b> Actively designing multi-turn agent loops, writing production code, building secure sandboxing environments, and architecting systems.</li>
<li><b>30% to 40% Leadership &amp; Mentorship:</b> Recruiting top-tier talent, mentoring engineers, reviewing PRs, and aligning product roadmaps with technical execution.</li>
</ul><h2 class="jobSectionHeader"><b>What You Will Do</b></h2>
<ul><li><b>Architect Stateful Agent Loops:</b> Design and implement highly reliable, multi-turn agentic planning and execution state machines capable of self-correction, tool orchestration, and long-context memory persistence.</li>
<li><b>Build Secure Execution Sandboxes:</b> Own the runtime execution layer where model-generated code (such as Python data-analysis scripts) is safely isolated, monitored, and run in real-time without compromising enterprise security boundaries.</li>
<li><b>Pioneer Tool Orchestration &amp; MCP:</b> Expand our agent capabilities by designing composable tool-calling integrations using Model Context Protocol (MCP) and custom API interfaces.</li>
<li><b>Build Evaluation &amp; Trajectory Testing Harnesses:</b> Establish programmatic frameworks (using LLM-as-a-judge and trajectory evaluations) to test if agent loops, tool-calling selections, and error recoveries behave safely and deterministically.</li>
<li><b>Scale High-Performance Systems:</b> Work on deep systems problems including latency optimization, semantic caching, speculative execution, and streaming intermediate agent states for a responsive user experience.</li>
<li><b>Scale the Team:</b> Bootstrap, hire, and mentor a small, elite, high-velocity team of software and AI engineers.</li>
</ul><h2 class="jobSectionHeader"><b>Our Technical Stack</b></h2>
<ul><li><b>Orchestration &amp; Frameworks:</b> LangGraph, LangChain, Go/Python, React, Node, Next.js.</li>
<li><b>Infrastructure &amp; Security:</b> Secure sandboxed runtimes (Docker, gVisor, WebAssembly), GCP, AWS, Kubernetes, Cloud SQL (PostgreSQL, TimescaleDB), Redis, Pub/Sub.</li>
<li><b>AI &amp; Models:</b> Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines.</li>
<li><b>Standards:</b> Model Context Protocol (MCP) tool schemas and APIs.</li>
</ul><h2 class="jobSectionHeader"><b>About You</b></h2>
<ul><li><b>8+ Years of Professional Engineering Experience:</b> A strong, proven background in software engineering, with significant tenure building and scaling backend systems, infrastructure, or platform services.</li>
<li><b>Active LLM &amp; Agentic Engineering Experience:</b> Practical, hands-on experience building production-grade LLM applications, multi-agent workflows (using DAGs or state machines), or tool-calling executors.</li>
<li><b>Systems &amp; Infrastructure Rigor:</b> Deep familiarity with building secure sandboxed runtimes, container isolation, API platforms, caching strategies, or high-throughput real-time data streaming.</li>
<li><b>Small-Team Leadership Experience:</b> Proven track record of mentoring senior engineers, driving technical design reviews, and leading high-velocity squads as a Tech Lead, TLM, or hands-on EM.</li>
<li><b>An Active Builder:</b> You love writing code. You are excited about the prospect of coding daily and staying out of the meetings and administrative bloat of traditional big-tech management.</li>
<li><b>Educational Background:</b> BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a highly quantitative field.</li>
</ul>
<p><b>Compensation</b>: The base salary range for this role is $230,00 to $270,000 + bonus, equity, and benefits. The actual pay may vary based on factors such as location, experience, and skills.</p>
<div>
<div><b>US Benefits:</b></div>
<ul><li><b>Flexible PTO</b>: Because life is better when you actually live it!</li>
<li><b>Comprehensive Coverage</b>: Top-notch medical, dental, and vision insurance.</li>
<li><b>401(k) with Matching</b>: We've got your back for a secure future.</li>
<li><b>Parental Leave &amp; Fertility Benefits</b>: Supporting you in growing your family, your way.</li>
<li><b>Therapy Sessions Covered</b>: Mental health matters&mdash; 10 free sessions through Samata Health.</li>
<li><b>Wellness Stipend</b>: For gym memberships, fitness tech, or whatever keeps you thriving.</li>
<li><b>Lunch on Us</b>: Enjoy a lunch credit when you're in the office.</li>
</ul>
<p>#Li-Hybrid</p></div><div><br>
<p>
</p></div><div><p>Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.</p></div></div>

Technical Lead Manager

Ontrac Solutions

<div><h1 class="jobSectionHeader"><b>Overview</b></h1>
<p>We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.</p>
<p>The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>GenAI Architecture &amp; Production Readiness</b></h3>
<p>Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.</p>
<p>Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.</p>
<p>Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.</p>
<p>Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.</p>
<p>Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.</p>
<h3 class="jobSectionHeader"><b>Banking Use-Case Delivery</b></h3>
<p>Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.</p>
<p>Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.</p>
<p>Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.</p>
<p>Troubleshoot and resolve complex issues across non-production and production environments.</p>
<p>Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.</p>
<p>Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.</p>
<h3 class="jobSectionHeader"><b>Governance, Risk &amp; Compliance</b></h3>
<p>Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.</p>
<p>Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.</p>
<p>Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.</p>
<p>Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.</p>
<p>Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.</p>
<h3 class="jobSectionHeader"><b>Organizational Influence &amp; Mentorship</b></h3>
<p>Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.</p>
<p>Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.</p>
<p>Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.</p>
<p>Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.</p>
<h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<p>7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.</p>
<p>2+ years of hands-on Python programming experience.</p>
<p>2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.</p>
<p>2+ years of experience with LLMs, prompt engineering, and RAG architecture.</p>
<p>2+ years of experience with vector databases, semantic search, and retrieval systems.</p>
<p>2+ years of experience with API-driven, cloud-native architectures.</p>
<p>2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.</p>
<p>Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.</p>
<h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<p>Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.</p>
<p>Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.</p>
<p>Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.</p>
<p>Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.</p>
<p>Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.</p>
<p>Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.</p>
<p>Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.</p>
<p>Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.</p>
<h2 class="jobSectionHeader"><b>Ideal Candidate Profile</b></h2>
<p>The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.</p>
<p>This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</p></div>

Principal AI Engineer

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $120,000&ndash;$300,000 + Competitive Equity</p><h2 class="jobSectionHeader"><b>
About the Company</b></h2><p>
An early-stage, venture-backed FinTech building AI compliance analysts that automate AML, KYC, KYB, and transaction monitoring end-to-end for banks and fintechs. The product operates inside browsers, APIs, and internal systems the way a human analyst would, and is already live with financial institutions across multiple regions.</p><p>
Founded 2024 &middot; Seed stage &middot; Small team &middot; Industry: FinTech</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
A backend-leaning Member of Technical Staff building the end-to-end systems that power production AI compliance workflows &mdash; high-performance infrastructure, reliability, and backend architecture supporting mission-critical automation.</p><p><b>
What you'll be doing</b></p><ul><li>
Architect agent behaviors and build the backend systems behind production AI compliance workflows</li><li>
Build browser agents that navigate legacy systems, portals, and third-party platforms, interpreting unstructured data</li><li>
Process risk signals at the speed money moves &mdash; millions of transactions, sub-second decisions &mdash; via distributed inference, caching, queue orchestration, and self-healing data pipelines on AWS</li><li>
Contribute to an in-house deep-research pipeline that keeps LLMs from conflating similar entities</li><li>
Optimize ML pipelines and ship product features, owning problems vertically</li></ul><p><b>
Tech stack:</b> Python, AWS; browser automation, computer vision, LLM systems.</p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li>
Experience with backend development and/or ML, especially in Python and AWS</li><li>
Hands-on experience deploying software to production environments</li><li>
Strong communication skills and willingness to interact with clients</li></ul><h2 class="jobSectionHeader"><b>
Green Flags</b></h2><ul><li>
Experience with browser automation and computer vision</li><li>
Background with distributed inference and optimization on AWS</li><li>
Familiarity with LLM systems and deep research pipelines</li><li>
Experience building systems that process millions of transactions at scale</li><li>
Knowledge of compliance, AML, KYC, or financial crime domains</li><li>
Competitive coding background</li><li>
Contributions to open-source projects or personal projects on GitHub</li><li>
Prior experience as a founder or at an early-stage startup</li></ul><h2 class="jobSectionHeader"><b>
Red Flags</b></h2><ul><li>
Candidates from a pure data science background who lack strong technical skills</li><li>
Lack of hands-on experience deploying software to production</li><li>
Primarily academic or research experience without practical engineering work</li></ul><h2 class="jobSectionHeader"><b>
Why Join</b></h2><ul><li>
Build frontier AI agents in production, solving hard problems with no off-the-shelf answers</li><li>
Large, underserved market with real customer traction and measurable impact</li><li>
Small team with wide surface area &mdash; own features end-to-end across backend, ML, and product</li></ul><h2 class="jobSectionHeader"><b>
Details</b></h2><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site</li><li><b>
Compensation:</b> $120,000&ndash;$300,000 + equity</li><li><b>
Visa sponsorship:</b> H-1B, O-1, OPT</li><li><b>
Experience:</b> 1+ years</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Member of Technical Staff

Handshake

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco, CA</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>On-site</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Marketing</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$196K &ndash; $245K &bull; Offers Equity</li>
</ul><div><p><i>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.</i></p></div></div></div>
<br><div><div><h1 class="jobSectionHeader"><b>About Handshake</b></h1>
<p>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.</p>
<p>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.</p>
<p><b>Why join Handshake now:</b></p>
<ul><li><p>Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</p>
</li><li><p>Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</p>
</li><li><p>Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders</p>
</li><li><p>Build a massive, fast-growing business with billions in revenue</p>
</li></ul><p><b>About Handshake AI</b></p>
<p>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.</p><br>
<div></div><h1 class="jobSectionHeader"><b>The Role</b></h1>
<p>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.</p>
<ul><li><p>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</p>
</li><li><p>Translate technical proof points (evals, RL environments, model behavior) into content that credibly reaches technical buyers: POVs, case studies, executive bylines, sales narrative</p>
</li><li><p>Build sales enablement from scratch &mdash; pitch decks, battlecards, objection handling &mdash; for a sales team currently working without a CRM or existing collateral</p>
</li><li><p>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</p>
</li><li><p>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</p>
</li><li><p>Stand up a minimum-viable digital presence (microsite/landing pages) with support from web dev</p>
</li><li><p>Use AI tooling aggressively to operate above your weight class &mdash; this function doesn't have the headcount yet for a traditional team structure</p>
</li></ul><h2 class="jobSectionHeader"><b>You Have</b></h2>
<ul><li><p>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</p>
</li><li><p>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</p>
</li><li><p>Gone zero-to-one before: launched a product, built a function, or served as a founding/solo marketer at an early-stage company</p>
</li><li><p>Sold complex technical solutions into traditional, non-tech Fortune 500 enterprises (banking, insurance, retail) rather than exclusively tech buyers</p>
</li><li><p>Strong writer and storyteller who gets fluent in genuinely technical material fast</p>
</li><li><p>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</p>
</li></ul><p><b>Bonus points:</b></p>
<ul><li><p>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</p>
</li><li><p>Fluent in AI tooling as a way of multiplying personal output across content, research, and competitive intel, rather than just a topic you market</p>
</li></ul><h2 class="jobSectionHeader"><b>We Offer</b></h2>
<p>Handshake delivers benefits that help you feel supported &mdash; and thrive at work and in life.</p>
<p><i>The below benefits are for full-time US employees.</i></p>
<p><b>Ownership:</b> Equity in a fast-growing company</p>
<p><b>Financial Wellness:</b> 401(k) match, competitive compensation, financial coaching</p>
<p><b>Family Support:</b> Paid parental leave, fertility benefits, parental coaching</p>
<p><b>Wellbeing:</b> Medical, dental, and vision, mental health support, $500 wellness stipend</p>
<p><b>Growth:</b> $2,000 learning stipend, ongoing development</p>
<p><b>Remote &amp; Office:</b> Internet, commuting, and free lunch/gym in our SF office</p>
<p><b>Time Off:</b> Flexible PTO, 15 holidays + 2 flex days</p>
<p><b>Connection:</b> Team outings &amp; referral bonuses</p>
<p>Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.</p>
Compensation Range: $196K - $245K</div></div><p></p>

Director of Marketing, Enterprise AI

Explore 52+ Ai product manager in San Francisco this July. Find roles across top companies and apply now to boost your career.