senior software engineer Jobs in San Francisco

senior software engineer

ai agent software engineer Jobs in San Francisco

ai agent software engineer

data engineer, go-to-market Jobs in San Francisco

data engineer, go-to-market

founding designer

growth engineer

founding gtm ai engineer

Revic

<div><p><b>About Revic</b></p><p>
Great sellers are the lifeblood of every business. They build relationships, understand needs, and close deals that drive growth. But too often, they&rsquo;re buried under administrative work, disconnected tools, and processes that pull them away from what they do best&mdash;selling.</p><p>
We believe sales deserve better. They deserve technology that works for them, not against them.</p><p>
Revic is an AI-native sales acceleration engine built to uplift sales professionals. We handle the complexity&mdash;analyzing data, identifying opportunities, triggering the right workflows&mdash;so reps can focus on the human side of sales. The conversations. The relationships. The moments that matter.</p><p>
Our platform learns what&rsquo;s working, defines who to sell to, and gives reps the context they need to move with confidence and precision. It removes the friction that slows them down and amplifies their natural strengths.</p><p>
Sales will always be human. Revic exists to make sure it stays that way&mdash;by letting AI handle everything else.</p><p><b>
About the Role</b></p><p>
This role exists to turn GTM signal into company-wide execution.</p><p>
As Revic&rsquo;s Founding GTM AI Engineer, you will work directly with Revic&rsquo;s CEO, Head of Revenue, and Head of Engineering to design and build the systems that translate real customer conversations and GTM data into automated actions across the entire organization.</p><p>
This role sits at the center of Revic&rsquo;s operating system. You will ensure insights captured in Revic don&rsquo;t remain trapped in dashboards or call recordings, but instead drive real-time responses across GTM, product, and engineering.</p><p>
This is a foundational, high-impact role. The systems you build will influence how decisions are made, how teams prioritize work, and how Revic learns and scales.</p><p><b>
What You&rsquo;ll Do</b></p><p>
Build Intelligence-Driven Systems</p><ul><li><p>
Partner closely with the CEO, Head of Revenue, and Head of Engineering to identify high-leverage opportunities for AI-driven automation</p></li><li><p>
Design systems that continuously analyze Revic data, call recordings, and customer interactions</p></li><li><p>
Translate insights into automated, organization-wide workflows</p></li></ul><p>
Trigger GTM Actions Automatically</p><ul><li><p>
Use Revic data and conversations to dynamically update outbound and inbound messaging</p></li><li><p>
Generate GTM content (blogs, LinkedIn posts, enablement assets) from real customer language</p></li><li><p>
Surface emerging objections, value propositions, and buying signals</p></li><li><p>
Turn customer conversations into living inputs for how Revic positions and sells</p></li></ul><p>
Extend GTM Signal Beyond GTM</p><ul><li><p>
Route insights from sales calls directly into product and engineering prioritization</p></li><li><p>
Inform feature discovery, validation, and roadmap decisions</p></li><li><p>
Identify recurring friction, gaps, and unmet customer needs</p></li><li><p>
Reduce reliance on anecdotal feedback by systematizing customer signal</p></li></ul><p>
Operate as a Founding Builder</p><ul><li><p>
Act as a connective layer between GTM, product, and engineering</p></li><li><p>
Identify where human interpretation slows the organization down and replace it with systems</p></li><li><p>
Move from idea to prototype to production with urgency and ownership</p></li><li><p>
Help define how this intelligence layer scales as Revic grows</p></li></ul><p><b>
Why This Role Is Critical</b></p><p>
Most companies collect GTM data. Very few operationalize it across the organization.</p><p>
This role ensures:</p><ul><li><p>
Sales insights don&rsquo;t die in call recordings</p></li><li><p>
Product and engineering decisions are informed by real buyer conversations</p></li><li><p>
Messaging evolves automatically as the market changes</p></li><li><p>
Leadership can act faster with less manual synthesis</p></li></ul><p>
You are building the connective tissue between customers, leadership, and execution.</p><p><b>
You Belong Here If&hellip;</b></p><ul><li><p>
You think in systems and feedback loops, not one-off automations</p></li><li><p>
You understand how GTM data can influence every part of a company</p></li><li><p>
You&rsquo;ve built workflows or tools that changed how teams operate, not just how they report</p></li><li><p>
You&rsquo;re comfortable collaborating directly with executive leadership</p></li><li><p>
You thrive in ambiguity and are excited to build foundational infrastructure</p></li></ul><p>
Bonus (Not Required)</p><ul><li><p>
Experience with conversation intelligence or call data</p></li><li><p>
Background in RevOps, Product Ops, or Growth</p></li><li><p>
Experience in early-stage, zero-to-one environments</p></li></ul><p><b>
What Success Looks Like</b></p><ul><li><p>
GTM data drives decisions across Revic automatically</p></li><li><p>
Messaging and content evolve continuously based on real customer input</p></li><li><p>
Engineering priorities reflect structured customer signal</p></li><li><p>
Leadership operates with faster feedback loops and clearer market visibility</p></li></ul><p><b>
Logistics &amp; Offer</b></p><ul><li><p>
Competitive salary plus meaningful equity (true founding ownership)</p></li><li><p>
Premium health, dental, and vision</p></li><li><p>
Location: San Francisco Bay Area, New York City / Metro Area, or Remote (US)</p></li><li><p>
Quarterly in-person offsites</p></li></ul><p><b>
The Intangibles</b></p><ul><li><p>
Work shoulder-to-shoulder with Revic&rsquo;s leadership team</p></li><li><p>
Shape how decisions are made across the company</p></li><li><p>
Build systems that compound in value as Revic scales</p></li></ul></div>

Founding GTM AI Engineer

Mental & Mentla

<div>
 <strong>
  Location:
 </strong>
 San Francisco - Hybrid
 <br/>
 <br/>
 <strong>
  About Pathos:
  <br/>
  <br/>
 </strong>
 Pathos is an early-stage startup building the world&rsquo;s first truly intelligent emotional-health companion. Pathos is a science-driven, AI-powered experience designed to make high-quality emotional support more accessible. Co-founded by leaders across neuroscience, mental-health innovation, and consumer tech, Pathos is in active development and preparing for its first product launch. We&rsquo;re creating a secure, private, multilingual platform grounded in evidence-based therapeutic approaches, and we&rsquo;re looking for builders who want to shape the product from the ground up.
 <br/>
 <br/>
 <strong>
  The person we&rsquo;re looking for:
  <br/>
  <br/>
 </strong>
 We&rsquo;re seeking a
 <strong>
  Founding Designer
 </strong>
 with a proven ability to own the end-to-end design process, create polished and intuitive user experiences, and solve user and business problems using design thinking. You thrive in a fast-paced startup environment and can move quickly without compromising the quality of your outputs.
 <br/>
 <br/>
 <strong>
  Job Overview:
  <br/>
  <br/>
 </strong>
 Some things you will be responsible for:
 <br/>
 <br/>
 <ul>
  <li>
   Lead the design of a new mobile app from scratch, creating beautiful visuals, intuitive interactions, and innovative UX for our flagship product.
  </li>
  <li>
   Build a comprehensive, future-proof design system, with accessibility, internationalization, and modularity in mind.
  </li>
  <li>
   Collaborate with engineers and product leadership to prioritize the roadmap and scope new features.
  </li>
  <li>
   Apply a strong user-centered approach to research and design, translating real user needs into clear, actionable product direction.
  </li>
  <li>
   Leverage AI tools to accelerate ideation while producing human-centered, polished designs that align with the Pathos brand.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience as a product designer, preferably in consumer mobile products.
  </li>
  <li>
   Expert proficiency in Figma, with strong skills across UX, visual design, typography, iconography, and animation. Nice to have: marketing design experience.
  </li>
  <li>
   Strong visual communication and design thinking.
  </li>
  <li>
   Good at understanding users and using research to guide decisions.
  </li>
  <li>
   Comfortable working in a small, fast-moving startup team, managing multiple projects, and meeting deadlines.
  </li>
  <li>
   Understands current and emerging AI trends and can use them to create practical, user-centered designs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Health and dental benefits
  </li>
  <li>
   On-site parking
  </li>
  <li>
   Public transportation reimbursement
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $140K - $240K
 <br/>
 <br/>
</div>


Founding Designer

HackerOne

<div><p>HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world&rsquo;s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner&rsquo;s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).</p><p></p><p>
HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional &ndash; it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world&rsquo;s top organizations.</p><p></p><p><b>
HackerOne Values</b></p><p>
HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is <b>Customer Obsessed</b> and prioritizes customer outcomes in our decisions and actions. We <b>Default to Disclosure</b> by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners<b> Win Together </b>by fostering empowerment, inclusion, respect, and accountability.</p><p></p><h2 class="jobSectionHeader"><b>
Product Monetization Director (Individual Contributor)
</b></h2><p></p><h2 class="jobSectionHeader"><b>Remote Location: Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC</b></h2><p></p><h2 class="jobSectionHeader"><b>
Position Summary</b><b>
</b></h2><p>As the Product Monetization Director, you will define and establish how product monetization works at HackerOne. You will create the vision, systems, and operating model that translate product value into scalable commercial outcomes across a rapidly expanding portfolio, including AI-native products and an emerging suite of AI agents.</p><p>
Reporting to the Senior Director, Product Strategy, you will operate as a <b>principal individual contributor</b> with enterprise-wide scope. This role combines visionary thinking with hands-on building: designing pricing models, packaging frameworks, and value realization systems, while leading the change required to embed them across Product, Finance, GTM, and Engineering. Strong learning velocity is essential, as monetization approaches must continuously evolve alongside AI capabilities, customer usage patterns, and market dynamics.</p><p><b><i>
</i></b>At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of <b>Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC</b>. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together &ndash; fostering collaboration, connection, and in-person moments that enrich our culture &ndash; while still preserving the benefits of remote work.</p><p></p><h2 class="jobSectionHeader"><b>
What You Will Do</b></h2><p>
Success in the Product Monetization Director role will be accomplished by delivering on the responsibilities below in alignment with HackerOne&rsquo;s Values and <b>Talent Principles</b>.</p><ul><li><p><b>
AI First:</b> Design and evolve monetization models for AI-powered products and agentic workflows, translating new capabilities into clear value metrics and pricing architectures that scale with adoption.</p></li><li><p><b>
Data-Driven Decision Making:</b> Build fast, repeatable experimentation loops that connect product usage, customer behavior, and revenue outcomes&mdash;using evidence to refine monetization systems over time.</p></li><li><p><b>
First Principles Problem Solving:</b> Establish foundational pricing and packaging frameworks by breaking complex product and market dynamics down to their essentials, replacing ad-hoc decisions with durable systems.</p></li><li><p><b>
Change Agility:</b> Lead change across the organization as monetization moves from fragmented practices to shared frameworks, adapting approaches quickly as new information emerges.</p></li><li><p>
Define and own the end-to-end monetization lifecycle, including value definition, packaging, pricing structures, segmentation, discounting guardrails, and value realization.</p></li><li><p>
Create the initial operating model for monetization at HackerOne, clarifying decision frameworks, roles, and ways of working across Product, Finance, GTM, and Engineering.</p></li><li><p>
Partner deeply across functions to operationalize pricing models within CPQ, billing, quoting, and customer-facing workflows.</p></li><li><p>
Serve as a trusted expert and advisor by providing clear trade-off frameworks and monetization narratives that inform long-term strategy and investment decisions.</p></li><li><p>
Continuously evolve monetization systems through learning velocity and rapidly incorporating feedback from the market, customers, and internal teams.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2><ul><li><p>
10+ years of experience in product monetization, pricing, or related roles with direct ownership of SaaS or platform pricing and packaging.</p></li><li><p>
Proven experience designing monetization frameworks across multi-product portfolios, including usage-based or AI-driven business models.</p></li><li><p>
Strong analytical capability, including pricing experiments, revenue modeling, and financial analysis.</p></li><li><p>
Experience operationalizing pricing decisions across systems such as CPQ, billing, and quoting platforms.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b><b>
</b></h2><ul><li><p>Experience establishing a monetization function or capability where one did not previously exist.</p></li><li><p>
Experience designing monetization for AI-powered products, agents, or highly technical platforms.</p></li><li><p>
Background working with enterprise customers and complex buying journeys.</p></li><li><p>
Demonstrated ability to ramp quickly in new domains and adapt monetization approaches as conditions change.</p></li><li><p>
Cyber Security experience</p></li></ul><p></p><p>
Compensation Bands:<br>
<b>San Francisco</b></p><p>
$252K &ndash; $308K &bull; Offers Equity</p><h2 class="jobSectionHeader"><b>
Seattle, Austin, DC, Boston</b></h2><p>
$226K &ndash; $277K &bull; Offers Equity</p><p></p><p>
#LI-Remote</p><p>
#LI-HM1</p><h2 class="jobSectionHeader"><b>
Job Benefits:</b></h2><ul><li><p>
Health (medical, vision, dental), life, and disability insurance*</p></li><li><p>
Equity stock options</p></li><li><p>
Retirement plans</p></li><li><p>
Paid public holidays and unlimited PTO</p></li><li><p>
Paid maternity and parental leave</p></li><li><p>
Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)</p></li><li><p>
Employee Assistance Program</p></li><li><p>
Flexible Work Stipend</p></li><li>Eligibility may differ by country</li></ul><p></p><p>
We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).</p><p></p><p>
Visa/work permit sponsorship is not available.
</p><p></p><p><i>Employment at HackerOne is contingent on a background check.</i></p><p></p><p>
HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.</p><p></p><p>
This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.</p><p></p><p>
For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.</p><p></p><p>
Compensation Range: $226K - $308K</p></div>

Product Monetization Director

Software Engineer - Agentic AI (San Francisco)

Cooperidge Consulting Firm

<div>
 <strong>
  Cooperidge Consulting Firm
 </strong>
 is seeking an
 <strong>
  AI Agent Software Engineer
 </strong>
 on behalf of a
 <strong>
  top AI-driven technology client
 </strong>
 building next-generation autonomous customer experience systems across industries including finance, healthcare, and travel.
 <br/>
 <br/>
 This role offers the opportunity to build production-grade AI agents that autonomously handle complex, real-world customer interactions traditionally managed by human support teams. The engineer in this role will own features end-to-end&mdash;from concept and design through deployment and iteration&mdash;while collaborating closely with product, operations, and customer-facing teams.
 <br/>
 <br/>
 The ideal candidate is a strong software engineer with curiosity about AI systems, a bias toward ownership, and a desire to build reliable, transparent, and scalable agent-based platforms.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build AI-driven voice and chat agents that deliver high accuracy, efficiency, and customer satisfaction
  </li>
  <li>
   Translate natural language instructions into structured, auditable workflows using a proprietary agent logic framework
  </li>
  <li>
   Own full-cycle development from system design through deployment and continuous improvement
  </li>
  <li>
   Analyze agent performance data to identify trends and drive behavioral and platform-level improvements
  </li>
  <li>
   Experiment with and integrate modern voice and language models, tuning for enterprise reliability, latency, and scale
  </li>
  <li>
   Use real-time observability and tracing tools to understand, debug, and improve agent decision-making
  </li>
  <li>
   Collaborate cross-functionally with product managers, customer teams, and operations partners to solve real business problems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of professional software engineering experience working on production systems with real users
  </li>
  <li>
   Strong proficiency in Python and TypeScript, including asynchronous programming and error handling
  </li>
  <li>
   Solid debugging and troubleshooting skills using logs, profilers, and raw data analysis
  </li>
  <li>
   Strong computer science fundamentals (language background flexible)
  </li>
  <li>
   Proactive mindset with curiosity around how AI agents reason, fail, and improve
  </li>
  <li>
   Willingness to learn&mdash;prior AI experience is not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to multimodal AI systems or voice interface development
  </li>
  <li>
   Experience with enterprise customer experience or conversational automation platforms
  </li>
  <li>
   Interest in tools that improve agent transparency through testing, visualization, and simulation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Full-time roles offering overtime and weekend work opportunities
  </li>
  <li>
   Competitive hourly wages plus potential quarterly bonuses
  </li>
  <li>
   Comprehensive health, vision, and dental insurance plans
  </li>
  <li>
   Life insurance coverage
  </li>
  <li>
   401(k) retirement plan with company matching contributions
  </li>
  <li>
   Paid time off including vacation, sick leave, and holidays
  </li>
  <li>
   Opportunities for career growth and advancement
  </li>
  <li>
   Employee discount programs and perks
  </li>
 </ul>
</div>


AI Agent Software Engineer

Plaid

<div><div><div>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.</div><div></div><div><br>
AI and intelligent systems are driving the fifth paradigm shift, following previous technological revolutions like mainframes, personal computers, the internet, and mobile devices. We believe, in the foreseeable future, AI will revolutionize the FinTech industry - from how consumers understand and manage their finances, to how developers build applications and how all companies operate. The fintech industry landscape will undergo a fundamental reshape.</div><div></div><div><b><br>
Plaid in the FinTech AI Ecosystem</b></div><div>
Plaid is uniquely positioned to become the financial data and insights backbone for AI applications and platforms in this evolving ecosystem.</div><div></div><div><br>
We believe consumers should be able to understand and manage their financial life through conversational AI interfaces using natural language. We believe consumers should have peace of mind with a trustworthy consent and authorization manager when agents shop for them. We believe identity verification and financial fraud prevention in AI-powered products should feel seamless and embedded for the end users. The list goes on.</div><div>
The most important AI companies, major fintechs, and customer agent platforms are actively trying to integrate Plaid into AI-powered products and solutions they build.</div><div></div><div><b><br>
Plaid&rsquo;s AI-powered Experiences for Customers</b></div><div>
The explosive growth in model intelligence and increasing relevance for enterprise tasks offer a unique opportunity for Plaid to rethink from the ground up how we operate and interact with our customers for the most optimal experience.</div><div></div><div><br>
Our early experiments in building AI agents for customer experience are paying off with huge business value. For example, our homegrown AI-powered customer support agents resolve a significant proportion of customer questions and issues within seconds, which would otherwise have required humans hours to work on.</div><div>
This is just the beginning and there is so much more we could do.</div><div></div><div><b><br>
The AI Applications Team</b></div><div>
You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid&rsquo;s transformation into an AI-first company.</div><div></div><div><br>
In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:</div><div>
- Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond</div><ul><li>Redefine how Plaid&rsquo;s consumer link experience embed into conversational interfaces in the most seamless way</li></ul><div>
Architect the trust layer for the future of agentic commerce that will become the industry standard</div><div></div><div><br>
Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:</div><div>
- Make the next step-function improvement in our homegrown customer support agent - land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.</div><div>
- Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products</div><div></div><div><br>
You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI &lt;&gt; Fintech will be heading longer term.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features</li><li>
Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they&rsquo;re expected to have the highest impact</li><li>
Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches</li><li>
Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li><ul><li>
Strong SWE fundamentals (system design, APIs, etc.)</li><li>
Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:</li><li>
Prompt engineering</li><li>
Fine-tuning</li><li>
Retrieval augmented generation (RAG)</li><li>
Semantic search - vector database and embedding models</li><li>
Agent orchestration framework</li><li>
Evaluation and monitoring framework of open-ended tasks</li><li>
Streaming and SSE</li><li>
Common UX and design patterns for GenAI-powered products</li><br>
<div></div><li>
Strong debugging and monitoring experience for production systems</li><li>
Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM</li><li>
Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 -&gt;1 projects</li><li>
Extremely curious and passionate about working in GenAI applications space</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Nice-to-Haves</b></h3><ul><li><ul><li>
Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases</li><li>
Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations</li></ul></li></ul></div></div>
<div><div>$202,800 - $330,000 a year</div><div>
The target base salary for this position ranges from $202,800/year to $330,000/year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.</div></div>
<div><div>Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!</div><div></div><div><br>
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected].</div></div></div><div></div>

Staff Software Engineer - AI

OpenAI

About the Team
<br><br>
Security Products is on a mission to transform cybersecurity by leveraging AI to give defenders a decisive advantage.
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Born out of OpenAI’s security research program and incubated with Sam Altman’s encouragement, the Security Products team is taking the breakthroughs we’ve developed internally and bringing them to the world. Our tools are already protecting OpenAI’s own systems, and we’re looking to scale their impact to the world.
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We are a lean, high-caliber team
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operating at the frontier of AI and security
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. We blend security research with product engineering to explore what’s possible, build what’s practical, and give defenders an unprecedented advantage – all while advancing the science of AI-driven security itself.
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About the Role
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As a Data Engineer on this team, you’ll help invent and build the next generation of AI-powered cybersecurity products. You’ll take the lead in building our data pipelines, core tables, and analytics to ensure our products are robust, reliable, and impactful.
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This is a fast-moving, high-ownership role. You’ll collaborate closely with security experts, AI researchers, and product engineers, shaping both the technical foundation and the product direction of a team that is scaling quickly. You don’t need to be a security expert to succeed here – just someone excited to solve meaningful problems and build tools that materially improve defenders’ capabilities.
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<b>What you’ll do:</b><br>
Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
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Develop canonical datasets to track key product insights including security outcomes, engagement and usage, and performance.
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Work directly with internal and external customers to deeply understand their workflows and translate them into intuitive, powerful product experiences.
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Work collaboratively with cross-functional partners, including Infrastructure, Data Science, Product, Marketing, Go-To-Market, and Research to solve problems and enable product success.
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Implement robust and fault-tolerant systems for data ingestion and processing.
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Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
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Ensure the security, integrity, and compliance of data according to industry and company standards.
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Help shape the engineering culture, architecture, and processes of a new business unit with a critical mission.
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<b>What we’re looking for:</b><br>
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
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Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
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Familiarity with public cloud environments (Azure or AWS) and infrastructure tooling (Kubernetes, Terraform, etc.).
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Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
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Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
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Solid understanding of Spark and ability to write, debug and optimize Spark code.
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Ability to thrive in a fast-paced environment where problems may be ambiguous, emerging, or rapidly evolving.
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About OpenAI
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OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
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For additional information, please see
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OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
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.
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Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
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We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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Compensation
<br><br>
$255K – $325K + Offers Equity

Data Engineer, Security Products

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