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account director ai emerging tech

Stitch Fix

<div><div><h3 class="jobSectionHeader"><b>About Stitch Fix, Inc.
</b></h3><p>Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we're equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what's possible for our clients, while we help you reach your full potential.</p></div><br>
<p></p>
<h1 class="jobSectionHeader"><b>
About the Role</b></h1>
<p>
The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.</p>
<p>
As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix &amp; Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li><b>Lead</b> the Product Algorithms portfolio across Growth, Styling, and Fix &amp; Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.</li>
<li><b>Define</b> the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance.</li>
<li><b>Drive</b> innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, execution capacity, and business priorities.</li>
<li><b>Strengthen</b> organizational effectiveness by improving planning, prioritization, experimentation practices, product analytics capabilities, operational readiness, incident management, and cross-functional decision making across the portfolio.</li>
<li><b>Build</b> and develop a high-performing organization of managers and senior individual contributors, fostering technical excellence, strong product leadership, accountability, and collaborative partnerships while representing Product Algorithms with executive stakeholders.</li>
</ul><h2 class="jobSectionHeader"><b>How AI and Tools Show Up in Your Day-to-Day Work</b></h2>
<ul><li>Use AI-powered tools (such as ChatGPT, GitHub Copilot, and other emerging technologies) to improve decision making, productivity, communication, and operational efficiency.</li>
<li>Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmap decisions and measure business impact.</li>
<li>Continuously evaluate and adopt new AI capabilities, technologies, and ways of working that improve team effectiveness and accelerate innovation.</li>
</ul><h1 class="jobSectionHeader"><b>About You</b></h1>
<p>
You are a strategic technical leader who combines deep expertise in machine learning and AI with exceptional product thinking, organizational leadership, and business judgment. You thrive in highly collaborative environments, enjoy solving ambiguous problems, and know how to translate emerging technologies into measurable customer and business outcomes.</p>
<h2 class="jobSectionHeader"><b>
Requirements</b></h2>
<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.</li>
<li>10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.</li>
<li>Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.</li>
<li>Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.</li>
<li>Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.</li>
<li>Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.</li>
<li>Experience using AI tools (such as ChatGPT, GitHub Copilot, or similar technologies) to improve productivity, decision making, collaboration, and the quality of work.</li>
<li>This position requires the ability to sit for extended periods of time, use a computer and standard office equipment, and communicate effectively in both written and verbal formats.</li>
</ul><h2 class="jobSectionHeader"><b>Nice to Have</b></h2>
<ul><li>Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.</li>
<li>Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.</li>
<li>Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.</li>
<li>Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.</li>
<li>Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.</li>
</ul><div><p><i>
This link</i><i> leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.</i></p>
<p>
Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy</p>
<p><b>
Recruiting Fraud Alert:</b></p>
<p>
To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.</p>
<p>
Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.</p></div></div><p></p>

Director, Data Science & Algorithms - CX Product Experiences

Writer

<div><h3 class="jobSectionHeader"><b>About WRITER</b></h3><p>
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible &ndash; through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.</p><p>
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
About the role</b></h3><p>
As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.</p><p>
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.</p><p>
This is a hybrid role based out of our San Francisco, Chicago, Austin, New York City, Seattle, and London hubs.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
What you'll do</b></h3><ul><li><p>
Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions</p></li><li><p>
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges</p></li><li><p>
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape</p></li><li><p>
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation</p></li><li><p>
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations</p></li><li><p>
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment</p></li></ul><div><br>
</div><h3 class="jobSectionHeader"><b>
️ What you need</b></h3><ul><li><p>
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management</p></li><li><p>
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications</p></li><li><p>
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment</p></li><li><p>
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership</p></li><li><p>
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI</p></li><li><p>
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts</p></li></ul><p><b><br>
Benefits &amp; perks (US Full-time employees)</b></p><ul><li><p>
Generous PTO, plus company holidays</p></li><li><p>
Medical, dental, and vision coverage for you and your family</p></li><li><p>
Paid parental leave for all parents (16 weeks)</p></li><li><p>
Fertility and family planning support</p></li><li><p>
Early-detection cancer testing through Galleri</p></li><li><p>
Flexible spending account and dependent FSA options</p></li><li><p>
Health savings account for eligible plans with company contribution</p></li><li><p>
Annual work-life stipends for:</p><ul><li><p>
Wellness stipend for gym, massage/chiropractor, personal training, etc.</p></li><li><p>
Learning and development stipend</p></li></ul></li><li><p>
Company-wide off-sites and team off-sites</p></li><li><p>
Competitive compensation, company stock options and 401k</p></li></ul><p><i>
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</i></p><p>
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.</p><p>
Compensation Range: $131.8K - $185K</p></div>

AI deployment engineer (West)

Observe.AI

<div><p>About Us</p>
<p>
Observe.AI is the AI Agents platform for customer experience, designed to help organizations deliver faster, smarter, and more efficient customer service at scale. The platform enables businesses to deploy specialized AI Agents that autonomously execute work across the full CX lifecycle&mdash;from handling customer conversations to supporting frontline teams and optimizing operations.</p>
<p>
Each AI Agent is purpose-built for a specific role, equipped to understand context, make decisions, take action, and continuously improve outcomes. This allows organizations to increase resolution speed, elevate service quality, and reduce operational costs while empowering your frontline team to focus on higher-value work.</p>
<p>
Built on a CX-native foundation, Observe.AI helps leading brands like DoorDash, Affordable Care, Signify Health, and Verida improve customer satisfaction, boost agent productivity, and deliver consistent, scalable performance across every customer interaction.</p>
<p><b>
The Opportunity</b></p>
<p>
As Channel Sales Director at Observe.AI, you will play a pivotal role in driving our channel partner strategy and fostering strong relationships with the channel partner ecosystem. The ideal candidate will possess a proven track record of successful channel management, with a focus on building and nurturing partnerships to drive business growth. This role requires a results-oriented individual who can effectively collaborate with partners, internal teams, and executive leadership to achieve strategic goals.</p>
<p><b>
What you'll do:</b></p>
<ul>
<li>Develop and execute a comprehensive regional channel partner strategy in alignment with Observe.ai's overall business objectives</li>
<li>Cultivate and maintain strong relationships with existing channel partners, providing necessary support and resources to ensure their success in promoting Observe.ai solutions</li>
<li>Identify and onboard new channel partners, including Sub-Agents, and `Value-Added Resellers (VARs) to expand market reach and drive revenue growth</li>
<li>Collaborate cross-functionally with Sales, Marketing, Product, and Customer Experience teams to align channel efforts with the overall company strategy</li>
<li>Drive partner engagement through regular communication, training, and joint marketing initiatives</li>
<li>Conduct market analysis and identify emerging opportunities, competitive trends, and potential areas for channel expansion</li>
<li>Provide regular reporting and insights to the VP of Channels on channel performance, pipeline development, forecasting and partner feedback</li>
<li>Collaborate with partners to develop joint go-to-market plans, including sales enablement, lead generation, and customer success strategies</li>
<li>Represent Observe.ai at industry events, conferences, and partner meetings to enhance brand visibility and strengthen partner relationships</li>
</ul>
<p><b>Who you are:</b></p>
<ul>
<li>Minimum of 7 years of experience in channel management, preferably in the technology or software industry</li>
<li>Proven track record of exceeding channel sales targets and driving partner engagement</li>
<li>Strong understanding of the customer experience (CX) landscape and its importance in driving business outcomes</li>
<li>Exceptional communication and interpersonal skills, with the ability to build rapport and influence at all levels of an organization</li>
<li>Strategic thinker with the ability to develop and execute on long-term channel strategies</li>
<li>Demonstrated ability to work independently, prioritize tasks, and manage multiple projects simultaneously</li>
<li>Willingness to travel within the assigned region as needed</li>
</ul>
<p><b>Why You'll Love It Here</b></p>
<ul>
<li><b>Competitive compensation including equity: </b>Market-aligned base pay, performance incentives, and meaningful equity ownership</li>
<li><b>Excellent medical, dental, and vision insurance options:</b> Comprehensive medical, dental and vision benefits for employees and eligible dependents</li>
<li><b>Flexible Paid Time Off: </b>Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best.</li>
<li><b>Additional Time to Recharge: </b>10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work.</li>
<li><b>401(k) plan:</b> Long-term financial planning support with tax-advantaged retirement savings</li>
<li><b>Quarterly Lifestyle Spending Account:</b> Flexible quarterly stipend to support wellness, learning and professional development, and personal growth</li>
<li><b>Monthly Mobile + Internet Stipend</b>: Support for remote and hybrid work connectivity needs</li>
<li><b>Pre-tax Commuter Benefits:</b> Tax-efficient transit and commuting support for hybrid and in-office employees</li>
<li><b>Autonomy and Agency:</b> Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience.</li>
</ul>
<p><b>Salary Range</b></p>
<p>
The targeted OTE for this full-time position is $265,000 to $280,000 with a 60/40 base to variable split. Base salary will range from $159,000 to $168,000 with a variable component of $106,000 to $112,000.Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.</p>
<p><b>
Our Commitment to Inclusion and Belonging</b></p>
<p><i>
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.</i></p>
<p><i>
We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.</i></p>
<p><i>
If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit</i><i> www.observe.ai</i><i>.</i></p>
<p><i>
#LI-REMOTE</i></p></div><p></p>

Channel Sales Director

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

Nooks

<div>
 <strong>
  About Nooks.ai
  <br/>
  <br/>
 </strong>
 Nooks is an applied AI lab building the Agent Workspace for GTM. We design AI agents that operate across the full sales action set, from
 <em>
  account strategy
 </em>
 to
 <em>
  prospect research
 </em>
 and
 <em>
  outreach
 </em>
 . Building 0&rarr;1 has never been easier, but selling at the speed of the market remains the last frontier for AI. Our mission is to 10x every seller by automating the busywork so they can focus on what humans do best: closing deals.
 <br/>
 <br/>
 Today, over 1,500 customers run on Nooks, including Notion, HubSpot, Cursor, and Rippling. We&rsquo;ve raised $70M+ from top VCs like Kleiner Perkins, which made its first sales-tech investment in over a decade with us. Since then, we&rsquo;ve tripled ARR each year for 3 years running and grown a high-caliber team turning the art of sales into a scalable science.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Sales software was built for humans. But we believe most sales work will be done by agents within the next two years. We're building out multiple vertical products (AI Dialer, AI Prospecting, AI Sequencing, Agent Studio) to get there. Reps use Nooks as a "copilot" and spend 4+ hours a day across these different product lines. If you want to build a category-defining sales product, we'd love to hear from you.
 <br/>
 <br/>
 What you'll do
 <br/>
 <br/>
 <ul>
  <li>
   Build AI features that drive revenue, end to end. Define the success metric, ship across React/TypeScript and Node.js/Python, and iterate until it moves. 1,100+ customers depend on this product daily.
  </li>
  <li>
   Work directly with customers. Our biggest accounts have shared Slack channels with our engineers; you'll be on calls with users one day and shipping fixes back to them the next.
  </li>
  <li>
   Make foundational technical decisions. How should agent memory work per rep? What's the right primitive for a long-running outbound strategy?
  </li>
  <li>
   Mentor others on the team. Run code and design reviews, and pair on the hardest problems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Strong Fit If
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of engineering experience, with depth in something close to our stack (React, TypeScript, Node.js, Python).
  </li>
  <li>
   Production experience with AI features. For example, you've debugged misbehaving agents and built the evals to keep issues from recurring.
  </li>
  <li>
   Strong opinions, held loosely, about what the product surface of human-agent collaboration should look like.
  </li>
  <li>
   Not afraid to hop on a call with a customer to validate a feature you just built.
  </li>
  <li>
   You learn fast and ask good questions.
  </li>
  <li>
   Based in San Francisco, excited to be in-office 3+ days per week.
   <br/>
   <br/>
  </li>
 </ul>
 At Nooks You'll Enjoy
 <br/>
 <br/>
 <ul>
  <li>
   A world-class team. Around 40 engineers, mostly former founders or founding engineers and veteran builders from places like Applied Intuition, Scale, Airtable, Citadel, and Jane Street. Thirteen Olympiad medals across the team.
  </li>
  <li>
   Compounding learning. Sitting next to former founders and founding engineers is the fastest way to skip a few years of mistakes.
  </li>
  <li>
   Top-of-market compensation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 Nooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law.
 <br/>
 <br/>
 Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.
</div>


Software Engineer

David Joseph & Company

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

Strategic Projects Lead - Coding

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>
The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse &mdash; keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.</p>
<p>
Payments fraud is more externally coupled than most trust and safety work &mdash; you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints</li>
<li>Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting</li>
<li>Engineer fraud signals at scale &mdash; device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage &mdash; and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases</li>
<li>Own a portfolio of metrics &mdash; loss rate, dispute rate, authorization approval impact, and false-positive rate &mdash; rather than optimizing any single number</li>
<li>Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules</li>
<li>Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners</li>
</ul><h2 class="jobSectionHeader"><b>Minimum Qualifications:</b></h2>
<ul><li>Proficiency in Python, SQL, and data analysis tools</li>
<li>Experience building or operating fraud, risk, or abuse detection systems in production</li>
<li>Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualifications:</b></h2>
<ul><li>8+ years of industry software engineering experience, with a focus on payments fraud or risk</li>
<li>Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle</li>
<li>Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud</li>
<li>Understanding of fraud loss accounting &mdash; fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) &mdash; and why chargeback rate thresholds carry existential stakes</li>
<li>Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows</li>
<li>Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team</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>
$320,000 - $485,000 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>

Staff+ Software Engineer, Financial Fraud

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