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forward deployed ai engineer

Distyl AI

<div><h1 class="jobSectionHeader">About Distyl AI
</h1>Distyl is an applied AI technology company partnering with the world&rsquo;s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. 
 
We research and deploy technologies that power AI-native operations &mdash; both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations &mdash; from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. 
 
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.<h1 class="jobSectionHeader">
What We Are Looking For</h1>
Forward Deployed AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
Forward Deployed AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role. Forward Deployed AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production</li><li>
Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs</li><li>
Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications</li><li>
Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value</li><li>
Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time</li><li>
Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve</li><li>
Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement</li><li>
Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact</li><li>
Take accountability for the production outcomes of the components, workflows, and systems you build</li></ul><h1 class="jobSectionHeader">
What We Require</h1><ul><li>
2+ years of software engineering experience</li><li>
Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work</li><li>
Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components &mdash; prompts, agents, tools, retrieval, evaluators, workflows, and integrations &mdash; into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes</li><li>
Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness</li><li>
AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems</li><li>
Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations</li><li>
Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users</li><li>
Willingness to travel. Travel is typically 10&ndash;30%, depending on the project, customer needs, and your role on the engagement</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
The base salary range for this role is $150K &ndash; $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package</li><li>
100% covered medical, dental, and vision for employees and dependents</li><li>
401(k) with additional perks (e.g., commuter benefits, in‑office lunch)</li><li>
Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems</li><li>
Ownership of high‑impact projects across top enterprises</li><li>
A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence</li></ul>
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday&ndash;Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.</div>

Forward Deployed AI Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways&mdash;especially for youth and families.
 
 
 We work across OpenAI&rsquo;s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility.
 
 
 This work is core to OpenAI&rsquo;s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You&rsquo;ll help define how teens and guardians engage with OpenAI products&mdash;ensuring those experiences are safe, compliant, and empowering.
 
 
 You&rsquo;ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You&rsquo;ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts.
 
 
 This is a high-impact, 0&rarr;1 opportunity to set the standard for how families interact with generative AI.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT.
 </li>
 <li>
 Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs.
 </li>
 <li>
 Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale.
 </li>
 <li>
 Help define safety and well-being metrics, and continuously improve user trust through technical interventions.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have built products or infrastructure for users under 18, or have a strong interest in digital safety, youth well-being, or educational technology.
 </li>
 <li>
 Have hands-on experience with identity platforms, auth/authz systems, or user verification at scale.
 </li>
 <li>
 Have worked on systems with regulatory complexity (e.g., COPPA, GDPR-K, UK OSA, KOSA) or experience navigating legal constraints in product development.
 </li>
 <li>
 Are comfortable owning complex, ambiguous problems end-to-end, learning quickly, and adapting to fast-changing priorities. Can thrive in a cross-functional team, with strong collaboration across policy, research, legal, and product functions.
 </li>
 <li>
 Care deeply about building systems that are not just performant, but also inclusive, thoughtful, and ethical.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 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.
 
 
 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.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 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.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 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.
 
 
 Compensation Range: $230K - $385K
 
 
</div>

Software Engineer, Youth Well-Being

Workato

<div><div><h1 class="jobSectionHeader">About Workato</h1>

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
<h1 class="jobSectionHeader">
Why join us?</h1>

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:
<ul>
<li>Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
</li>
<li>Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
</li>
<li>Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
</li>
<li>Quartz ranked us the #1 best company for remote workers
</li>
</ul></div><div><h2 class="jobSectionHeader">Senior AI Engineer &ndash; Developer Products</h2>

Location: San Francisco, CA (Onsite/Hybrid)
<h3 class="jobSectionHeader">
About the Role</h3>

We are seeking an exceptional Senior Software Engineer to join our San Francisco team and build new developer products. In this role, you will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with our platform. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience.
<h3 class="jobSectionHeader">
Responsibilities</h3>
<ul><li>Design, build, and enhance AI services and APIs powering our developer sandbox, leveraging LLMs and custom ML models.</li>
<li>Develop well-architected, testable, and efficient Python code to support rapid prototyping and experimentation.</li>
<li>Implement and improve validation, monitoring, and observability for ML services within the sandbox environment.</li>
<li>Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.</li>
<li>Collaborate with cross-functional teams to design developer-centric solutions and intuitive user experiences.</li>
<li>Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability.</li>
<li>Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment.</li>
<li>Conduct code reviews and mentor team members to uphold high engineering standards.</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<h4 class="jobSectionHeader">Qualifications / Experience / Technical Skills</h4>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.</li>
<li>5+ years of experience as an ML Engineer, Data Scientist, or similar role.</li>
<li>Strong Python programming skills and hands-on experience with NLP and LLM models.</li>
<li>Proven track record of deploying and maintaining ML services in production environments.</li>
<li>Solid understanding of network protocols, API design, and developer tooling.</li>
<li>Experience with relational and non-relational databases.</li>
<li>LLMops/MLops experience is a strong plus, especially in developer-facing products.</li>
<li>Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.</li>
</ul><h4 class="jobSectionHeader">Soft Skills / Personal Characteristics</h4>
<ul><li>Collaborative team player with a passion for empowering developers and improving developer experience.</li>
<li>Adaptable, proactive, and creative&mdash;comfortable working in a dynamic, startup-like environment.</li>
<li>Strong problem-solving skills and a continuous improvement mindset.</li>
</ul>
Join us in San Francisco and help shape the future of developer innovation with AI-powered sandbox experiences! 
 
The salary range for this role is dependent on experience and ranges from $170,000 to $250,000. We also provide stock options to all employees and generous benefits.</div></div>

Senior AI Engineer – Developer Products

Workday

<div>Your work days are brighter here.
We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
About the Team
The Pipedream team is building the infrastructure that connects the internet's APIs. We maintain connectors with more than 3,000 apps and provide a developer toolkit, Pipedream Connect, that lets developers and AI agents add thousands of connectors through a single SDK or MCP server.
 
 
Recently acquired by Workday, Pipedream is a small and globally distributed team that is growing fast. We work with leading startups like Perplexity, Meta, Lindy, and Viktor, alongside open-source contributors and product teams across Workday, to build and ship connectors at scale. AI agents are a first-class use case for Pipedream, and our work is shaping how agentic workflows interact with APIs across the internet.
 
 
What makes this team special is the pace and the impact. You'll join a collaborative, high-ownership environment where your ideas directly influence the product. The team is expanding, and there's real opportunity to help define its direction during an exciting chapter of growth within Workday.
About the Role
As a Senior Product Manager on the Pipedream team, you will be the driving force behind the product roadmap, connector quality, and developer experience for one of the most broadly integrated API platforms available. This is a high-ownership role where you'll operate with significant autonomy, partner closely with engineering and business teams, and represent Pipedream in product conversations across Workday.
In this role, you will be responsible for:
<ul><li>Connector Roadmap: Prioritize which APIs the team builds next, balancing developer demand, partnership opportunities, and Workday's needs
</li><li>Connector Quality: Define configuration standards, validate end-to-end functionality, and ensure every connector shipped is reliable and ready for AI-driven use cases
</li><li>Connect Product: Shape the core product roadmap and developer experience for the Pipedream SDKs and MCP server in close collaboration with engineering
</li><li>Connect Adoption: Work with Workday product teams and external developers to drive meaningful adoption and usage of Pipedream Connect
</li><li>AI Agent Tooling: Define how connectors are structured for agentic workflows, including tooling interfaces and the evaluation process to validate them
</li><li>Cross-Functional Alignment: Partner with and enable teams throughout Workday to ship connectors within their own products
</li></ul>About You
Basic Qualifications:
<ul><li>7+ years of product management experience, with a history of owning technical products end-to-end at scale
</li><li>Strong technical fluency and curiosity &mdash; you are comfortable learning how applications, APIs, and integrations work under the hood, even if you are not an engineer by background
</li><li>Deep familiarity with APIs and authentication methods, including OAuth 1.0/2.0, PKCE, API keys, and Basic Auth
</li><li>Experience shipping developer-facing products such as SDKs, APIs, or developer platforms
</li><li>Expertise with modern AI tooling and development workflows, including familiarity with AI agents, LLM frameworks, and emerging trends in the AI developer ecosystem
</li><li>Demonstrated experience building products for developer users, with a strong understanding of the needs and workflows of developers building AI applications and agents
</li><li>Clear, effective written communication skills &mdash; you can write for both engineers and business audiences with equal confidence
</li><li>Highly self-directed, with the ability to manage multiple work streams independently and without close oversight
</li></ul>Other Qualifications:
<ul><li>Thoughtful and forward-looking product thinker, able to use your technical and AI expertise to spot new opportunities in the API and agent landscape and turn them into a clear, prioritized roadmap that creates meaningful value for developers and Workday
</li><li>Skilled at building relationships and influencing outcomes, with experience aligning internal teams, external partners, and leadership around a shared product direction through clear, persuasive communication
</li><li>Decisive in ambiguous situations, able to evaluate trade-offs, assess risks, and move the product forward at pace &mdash; including within a large organization where information may be incomplete
</li><li>Effective cross-team collaborator, with experience bringing together diverse perspectives across engineering, business, and partner teams to solve complex problems and ship products
</li><li>Data-informed in your prioritization, with experience using quantitative methods to identify trends, measure impact, and ground roadmap decisions in evidence
</li></ul>Workday is proud of its diverse workforce but does not sponsor employment visas or consider individuals on time-limited visas that will require sponsorship now or in the future for these positions. 
 
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here .
Primary Location: USA.CA.San Francisco 
 
Primary Location Base Pay Range: $168,000 USD - $252,000 USD 
 
Additional US Location(s) Base Pay Range: $140,600 USD - $252,000 USD 
 
 
Our Approach to Flexible Work 
 
With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. 
 
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com .
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. 
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</div>

Senior Product Manager, Pipedream

David Joseph & Company

<div><h2 class="jobSectionHeader">Founding Engineer &mdash; Confidential (AI Startup, YC/a16z-Backed)</h2>
Location: San Francisco, CA (Onsite, 5 days/week) 
Compensation: $180,000 &ndash; $225,000 base + 1.0% &ndash; 1.5% equity 
Visa Sponsorship: Available &mdash; visa transfers supported | Relocation support available 
Employment Type: Full-Time<h3 class="jobSectionHeader">
About the Company</h3>
A well-funded AI startup building a new paradigm for software creation &mdash; using AI agents to autonomously create and operate specialized software products at scale. Founded in 2026, the company has raised $5.5M from a16z and other top-tier investors and is building out its founding engineering team of 5&ndash;7 engineers. The founding team has previously scaled companies to $20M ARR.<h3 class="jobSectionHeader">
The Role</h3>
This is a founding engineering role for a generalist full-stack engineer who loves building from zero. You will ship micro apps weekly to real users, encode your processes into increasingly automated workflows, and run rapid experiments with the founding team. All engineers report directly to the founder and CEO.<h3 class="jobSectionHeader">
What You'll Own</h3><ul><li>
Build and ship micro apps every week with real users, encoding your processes into increasingly automated workflows</li><li>
Work in close collaboration with the founding team</li><li>
Run rapid experiments and decisively double down on what works while cutting what doesn't</li></ul>
Tech stack: Full-stack, AI &mdash; Python, JavaScript, Kotlin, Go (flexible on language)<h3 class="jobSectionHeader">
Requirements</h3><ul><li>
1&ndash;5 years of software engineering experience building AI-driven products</li><li>
Experience shipping products or features from ideation to real users with significant traction</li><li>
Proficiency in agentic development &mdash; designing and building orchestration pipelines across multiple agents, tools, and services</li><li>
Full-stack proficiency with a backend focus</li><li>
Active user of modern AI tooling (e.g. Claude Code, Cursor, or similar)</li><li>
At least one clear signal of excellence &mdash; hackathon wins, side projects with significant traction, impressive fellowships, YC founder background, etc.</li><li>
Bachelor's degree in Computer Science or a related technical field</li><li>
Must be based in or willing to relocate to San Francisco</li></ul><h3 class="jobSectionHeader">
Preferred</h3><ul><li>
Previous founder or early-stage startup experience &mdash; YC or a16z alum backgrounds a strong plus</li><li>
Degree from a top-tier university (Berkeley, Stanford, CMU, or equivalent)</li></ul><h3 class="jobSectionHeader">
This Role Is NOT For</h3><ul><li>
Pretraining or fine-tuning ML researchers &mdash; this is applied agentic engineering, not model training</li><li>
Pure Big Tech careers with no side project, startup, or scrappy chapter</li><li>
Candidates with a pattern of short tenures across multiple companies</li></ul><h3 class="jobSectionHeader">
Interview Process</h3><ul><li>
Application review</li><li>
Intro screen (45 min) &mdash; technical depth, past projects, judgment, and founder fit</li><li>
Pair coding session (60 min) &mdash; live coding, no AI tools; CS fundamentals and algorithmic reasoning</li><li>
Onsite (~4 hours) &mdash; agentic coding session, system design, and behavioral/founder-fit conversation</li><li>
Offer</li></ul><h3 class="jobSectionHeader">
Logistics</h3><ul><li>
Role is fully onsite in San Francisco (SoMa) &mdash; 5 days/week</li><li>
Relocation support available</li><li>
Visa sponsorship available</li></ul>
Shortlisted candidates will be contacted by David Joseph &amp; Co., the recruiting partner managing this search.</div>

Founding Engineer — Confidential

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Sunnyvale, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>8 years of experience in software development. 
</li>
<li>5 years of experience testing, and launching software products. 
</li>
<li>5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.</li>
<li>Experience integrating generative AI tools or LLM interfaces into workflows.</li>
<li>Experience in software engineering, generative AI agent, and cross-functional collaboration.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>8 years of experience with data structures/algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction. 
</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.</li>
<li>Experience with data engineering/large data set transformation and curation.</li>
<li>Experience with C++.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Cloud Optimize team provides cost and performance optimization to Google Cloud Platform (GCP) customers. To do this we rely on a unique set of data and pipelines from other Cloud Products across GCP. You will help lead the efforts to envision these datasets, join with existing datasets, and provide the data to all first-party and third-party agents who need them. 
Optimization spans cost, performance, and capacity for projects and applications developed on GCP. Our outlook is to help developers autonomously optimize their applications for cost, performance, and capacity. We do this by developing agent skills and tooling for use with Gemini models.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Provide technical leadership on high-impact projects. 
</li>
<li>Manage project priorities, deadlines, and deliverables. 
</li>
<li>Design, develop, test, deploy, maintain, and enhance large-scale software solutions. 
</li>
<li>Work with partners across GCP. Develop and launch data pipelines that feed our GCP-native AI Agents. 
</li>
<li>Develop and launch APIs and MCP servers to make our data available to first-party and third-party agents.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, Agent-Centric Data and APIs

Tamarind Bio

<div><h1 class="jobSectionHeader">About Tamarind Bio</h1>
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren&rsquo;t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
Staff Software Engineer / Technical Lead
We're hiring a Staff Software Engineer to provide technical leadership across our engineering team as we continue to scale the platform behind Tamarind.
Today, our engineering team consists primarily of early and mid-career engineers. As the complexity of our systems and customer requirements continues to grow, we're looking for someone who can help guide technical decision-making, mentor engineers, and drive architectural discussions across the organization.
This is not an engineering management role.
We're looking for a hands-on technical leader who enjoys writing code, reviewing designs, solving difficult engineering problems, and helping other engineers grow. You'll work closely with the CTO to shape technical direction while remaining deeply involved in execution.
The role spans architecture, infrastructure, product development, code reviews, technical mentorship, and engineering best practices.
What You'll Do<ul><li>
Partner with the CTO on architecture, technical planning, and major engineering initiatives</li><li>
Provide technical guidance across a team of 7-8 engineers</li><li>
Lead design reviews and architectural discussions</li><li>
Help engineers navigate complex technical challenges</li><li>
Contribute directly to the codebase across infrastructure, backend services, APIs, and product development</li><li>
Review code and provide feedback on implementation approaches</li><li>
Identify opportunities to improve reliability, scalability, performance, and developer productivity</li><li>
Support technical decision-making across new products and platform capabilities</li><li>
Work closely with customers and internal stakeholders to understand requirements and translate them into practical solutions</li><li>
Help establish engineering standards as the team continues to grow</li></ul>
Week in the Life<ul><li>
Collaborate with the CTO on technical priorities and architectural decisions</li><li>
Review designs and provide guidance on implementation approaches</li><li>
Build and operate services across infrastructure, ML systems, APIs, and customer-facing applications</li><li>
Participate in code reviews and technical discussions</li><li>
Help unblock engineers working through difficult technical problems</li><li>
Work directly with customers to understand requirements and gather feedback</li><li>
Balance hands-on engineering work with technical leadership responsibilities</li></ul>
Ideal Qualifications<ul><li>
7+ years of software engineering experience</li><li>
Experience serving as a senior technical contributor, staff engineer, principal engineer, or technical lead</li><li>
Strong software architecture and distributed systems experience</li><li>
Experience building and operating production infrastructure and cloud services</li><li>
AWS experience (EC2, S3, DynamoDB, Docker, etc.)</li><li>
Ability to mentor engineers and provide technical guidance across multiple projects</li><li>
Strong communication skills and sound engineering judgment</li><li>
Comfort operating in an early-stage startup environment</li><li>
Willingness to work onsite in San Francisco</li></ul>
Technology
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We support workloads ranging from large-scale ML inference and model deployment to workflow orchestration across research, infrastructure, and scientific computing environments.
The role requires someone who enjoys moving between architecture, implementation, operations, and mentorship while helping a growing engineering team tackle increasingly complex technical challenges.
Compensation Range: $150K - $250K</div>

Staff Software Engineer / Technical Lead

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