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Allied Universal

<div>Security Officer Part Time Patrol Agent<h2 class="jobSectionHeader">
Overview</h2><div> 
Allied Universal&reg;, North America&rsquo;s leading security and facility services company, offers rewarding careers that provide you a sense of purpose. While working in a dynamic, welcoming, and collaborative workplace, you will be part of a team that contributes to a culture that positively impacts the communities and customers we serve. 
</div> 
<h2 class="jobSectionHeader">Job Description</h2> 
As a Security Officer Part Time Patrol Agent in San Francisco, CA, you will serve and safeguard clients in a range of industries such as Tech/Media/Telecom, and more. Join a leading team where flexibility meets opportunity. As a Part-Time Security Officer, you can build a schedule that works for you and explore new roles using our Claim a Shift platform. Learn more: aus.com/earnmore. Join Allied Universal at a dynamic tech location where you will monitor and patrol assigned areas, remain visible to help discourage security-related incidents, and support access awareness with strong customer service and communication. This role offers the chance to work with a forward-thinking team that values agility, reliability, innovation, teamwork, and integrity while making a meaningful impact each day.
Position Type: Part Time
Pay Rate: $30.55 / Hour
Job Schedule:<div><div><div><div>
Day</div><div> Time</div></div> 
</div><div><div><div>
Thur</div><div> 03:00 PM - 11:30 PM</div></div> 
<div><div>
Sun</div><div> 03:00 PM - 11:30 PM</div></div> 
</div></div>
What You'll Do:<ul><li>
Provide customer service to employees, visitors, and/or contractors by carrying out security-related procedures, site-specific policies, and when appropriate, emergency response activities at a technology-focused location.</li><li>
Respond to incidents, unusual activity, and/or critical situations in a calm, problem-solving manner, and help to document observations for site leadership and/or emergency personnel.</li><li>
Conduct regular and random patrols throughout buildings, offices, common areas, parking areas, and the perimeter to help to identify security-related concerns and/or policy violations.</li><li>
Monitor access points and visitor activity, verify credentials as directed by site procedures, and help to report unauthorized persons, suspicious behavior, and/or maintenance-related issues.</li><li>
Support workplace protocols related to deliveries, after-hours activity, and/or restricted areas while maintaining professional communication with staff, guests, and/or vendors.</li></ul>
Minimum Requirements:<ul><li>
CPR and First Aid experience is preferred.</li><li>
CPR certification is preferred.</li><li>
A guard card and/or license is preferred.</li><li>
Comfort using a computer or tablet is preferred.</li><li>
Access control and badge experience is preferred.</li><li>
Be at least 18 years of age for unarmed roles; 21+ years of age for armed roles.</li><li>
Possess a high school diploma or equivalent.</li><li>
As a condition of employment, applicants will be subject to a background investigation in accordance with all federal, state, and local laws.</li><li>
Allied Universal will consider qualified applications with criminal histories in a manner consistent with applicable laws.</li><li>
As a condition of employment, applicants will be subject to a drug screen to the extent permitted by law.</li><li>
Licensing requirements are subject to state and/or local laws and regulations and may be required prior to employment.</li><li>
A valid driver&rsquo;s license will be required for driving positions only.</li></ul>
Why Join Us:<ul><li>
Smart Tools: Access to our exclusive technology to view and claim additional shifts to earn more.</li><li>
Career Growth: Get paid training and access to career growth opportunities.</li><li>
Financial Benefits: Participate in our retirement savings plan to invest in your future.</li><li>
Exclusive Perks: Enjoy discounts on top brands and services through our Perks Program.</li></ul><div>
PPO 14417</div><h2 class="jobSectionHeader"> 
Closing</h2><div> 
Allied Universal&reg; is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race/ethnicity, age, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, protected veteran status or relationship/association with a protected veteran, or any other basis or characteristic protected by law. For more information: www.aus.com.
</div>If you have difficulty using the online system and require an alternate method to apply or require an accommodation, please contact our local Human Resources department. To find an office near you, please visit: www.aus.com/offices. 
 
<h2 class="jobSectionHeader">Requisition ID</h2> 
2026-1628653</div>

Security Officer Part Time Patrol Agent

Greptile

<div>
 We want to build agents that autonomously validate code changes. Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards. We&rsquo;re reviewing close to 1B lines of code a month now for over 3,000 companies.
 
 
 
 Problems We&rsquo;re Excited About
 
 
 
 <ul>
 <li>
 Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?
 </li>
 <li>
 Can we identify for each customer what types of PR feedback they do and don&rsquo;t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?
 </li>
 <li>
 Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?
 
 
 </li>
 </ul>
 
 Trajectory
 
 
 
 <ul>
 <li>
 7,000+ customers
 </li>
 <li>
 Raised $30M from Benchmark, YC, Paul Graham, Initialized
 
 
 </li>
 </ul>
 
 Team
 
 
 
 <ul>
 <li>
 We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, LinkedIn, etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BS in Computer Science or equivalent
 </li>
 <li>
 Some research experience, ideally with ML/LMs/Agents
 </li>
 <li>
 Strong programming skills and good product intuition
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experiment with and apply recent advancements in agents/LMs etc. to improve the performance and capabilities of our products
 </li>
 <li>
 Example: you might study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and then work with a team to integrate successful prototypes into production systems
 </li>
 <li>
 Stay current with the latest research in LLMs, information retrieval, and developer tooling
 
 
 </li>
 </ul>
 Compensation Range: $180K - $280K
 
 
</div>

Research Engineer

Nooks

<div>
 
 About Nooks.ai
 
 
 
 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
 
 account strategy
 
 to
 
 prospect research
 
 and
 
 outreach
 
 . 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 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.
 
 
 What you'll do
 
 
 <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.
 
 
 </li>
 </ul>
 
 You Might Be a Strong Fit If
 
 
 
 <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.
 
 
 </li>
 </ul>
 At Nooks You'll Enjoy
 
 
 <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.
 
 
 </li>
 </ul>
 
 Equal Employment Opportunity Statement
 
 
 
 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.
 
 
 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

Arcade Food Theatre

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

Head of Support Engineering

Smvsoft LLC

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

Founding Engineer - Applied AI

Observe.AI

<div>About Us

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.

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.

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.

The Opportunity

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.

What you'll do:
<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>
Who you are:
<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>
Why You'll Love It Here
<ul>
<li>Competitive compensation including equity: Market-aligned base pay, performance incentives, and meaningful equity ownership</li>
<li>Excellent medical, dental, and vision insurance options: Comprehensive medical, dental and vision benefits for employees and eligible dependents</li>
<li>Flexible Paid Time Off: Our unlimited, flexible PTO policy empowers you to take the time you need to recharge, maintain balance, and perform at your best.</li>
<li>Additional Time to Recharge: 10 company holidays, an annual company-wide Winter Break, and paid parental leave to fully support life outside of work.</li>
<li>401(k) plan: Long-term financial planning support with tax-advantaged retirement savings</li>
<li>Quarterly Lifestyle Spending Account: Flexible quarterly stipend to support wellness, learning and professional development, and personal growth</li>
<li>Monthly Mobile + Internet Stipend: Support for remote and hybrid work connectivity needs</li>
<li>Pre-tax Commuter Benefits: Tax-efficient transit and commuting support for hybrid and in-office employees</li>
<li>Autonomy and Agency: Play a meaningful role in scaling a category-defining GenAI platform transforming the future of customer experience.</li>
</ul>
Salary Range

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.

Our Commitment to Inclusion and Belonging

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.

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.

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 www.observe.ai.

#LI-REMOTE</div>

Channel Sales Director

David Joseph & Company

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

Member of Technical Staff

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