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Decagon

<div>About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block&rsquo;s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We&rsquo;re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We&rsquo;re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values &mdash; Just Get It Done, Invent What Customers Want, Winner&rsquo;s Mindset, and The Polymath Principle &mdash; shape how we work and grow as a team.
About the Team
The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with trust while defending against sophisticated, AI-enabled threats at massive scale.
Our mission is to provide magical support experiences &mdash; ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy.
About the Role
Lead the application security strategy and implementation for Decagon AI's conversational platform that serves enterprise customers at scale. You'll partner with engineering teams to build security directly into our AI-powered applications, ensuring protection against application-layer threats while maintaining the performance and reliability our customers expect. This role offers the opportunity to apply deep application security expertise to AI systems and shape security practices across our rapidly growing engineering organization.
In this role, you will<ul><li>
Design and implement application security controls across our AI agent platform, including secure coding practices, threat modeling, and vulnerability management.</li><li>
Collaborate closely with product engineering teams to integrate security throughout the software development lifecycle, from design, coding, PR, and deployment</li><li>
Establish application security testing programs including static analysis (SAST), dynamic analysis (DAST), and interactive testing (IAST) tailored for AI applications</li><li>
Lead security code reviews and architecture assessments for new features, with special focus on AI model integration points and customer data handling</li><li>
Build security tooling and automation to enable developers to identify and remediate vulnerabilities quickly while maintaining development velocity</li><li>
Respond to security incidents involving application vulnerabilities, coordinating remediation efforts and post-incident improvements</li></ul>
Your background looks something like this<ul><li>
Have 5+ years of hands-on application security engineering experience</li><li>
Expertise in secure software development practices, including threat modeling, secure code review, and vulnerability assessment</li><li>
Strong software engineering background with ability to review code across multiple languages and frameworks commonly used in AI/ML applications</li><li>
Experience implementing application security testing tools and integrating security into CI/CD pipelines</li><li>
Knowledge of OWASP Top 10, common application vulnerabilities, and modern application security frameworks</li><li>
Proven track record working with engineering teams to remediate security findings while balancing security and business requirements</li></ul>
Even better<ul><li>
Experience securing AI/ML applications, including prompt injection, model extraction, and adversarial input protections</li><li>
Background with large-scale, multi-tenant SaaS applications handling sensitive customer data</li><li>
Familiarity with Google Cloud application security services and container security best practices</li><li>
Knowledge of enterprise compliance requirements (SOC 2, ISO 27001, GDPR) from an application security perspective</li><li>
Experience with modern security tools like Semgrep, CodeQL, Cursor Bug Bot, XBOW, or similar</li></ul>
Compensation
$200K &ndash; $330K + Offers Equity
Benefits
We proudly offer the following benefits for our full-time employees:<ul><li>
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)</li><li>
Medical, Dental, and Vision benefits for you and your family</li><li>
Life Insurance and Disability Benefits</li><li>
Retirement Plan (e.g., 401K, pension)</li><li>
Parental Leave</li><li>
Fertility and family building benefits through Carrot</li><li>
Daily lunches and snacks in the office to keep you at your best</li></ul>
These benefits are described in more detail in Decagon&rsquo;s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Compensation Range: $200K - $330K</div>

Senior Security Engineer

Ontrac Solutions

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

Principal AI Engineer

MERCOR

<div><h2 class="jobSectionHeader">About Mercor</h2>
Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You&rsquo;ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
About the Role:
Mercor&rsquo;s Data team is looking for a Project Manager to own the end-to-end execution of data initiatives, from intake and scoping through delivery and post-launch handoff. You&rsquo;ll be the connective tissue across data engineering, analytics, and cross-functional stakeholders, ensuring every project is delivered on time, within budget, and at the level of quality our clients and internal teams expect.
What You&rsquo;ll Do:<ul><li>
Own end-to-end project management for data initiatives, including intake and scoping, requirements gathering, readiness reviews, cross-functional approvals, and launch/post-launch handoff.</li><li>
Take direct responsibility for the successful execution of projects, including meeting project goals, client/stakeholder service, quality of work, resource utilization, and profitability.</li><li>
Lead, motivate, and build a strong team environment for project contributors, inspiring a shared vision, enabling others to act, and taking ownership of team outcomes.</li><li>
Partner with team leads to vet, scope, and kick off assignments, and own all due dates and milestones.</li><li>
Develop and maintain accurate project documentation, including timelines, budgets, and scoping documents.</li><li>
Lead communications and change management across the project lifecycle, from kickoff briefings for stakeholders through end-user notifications ahead of launches, ensuring the right people have the right information at the right time.</li><li>
Serve as the primary coordination point across functional teams (Data Engineering, Analytics, Legal, Finance, etc.), aligning workstreams and driving decisions and accountability against timelines.</li><li>
Anticipate and manage the downstream implications of project decisions before they create risk; proactively surface dependencies, resolve blockers, and escalate when needed.</li><li>
Build and continuously improve the infrastructure that makes data project delivery scalable: intake forms, templates, checklists, SOPs/playbooks, and retrospectives that feed into process improvement.</li><li>
Manage relationships with key stakeholders to promote trust and future opportunities.</li></ul>
Knowledge, Skills, &amp; Abilities:<ul><li>
Excellent leadership, communication, and stakeholder management skills.</li><li>
Ability to work collaboratively across departments (engineering, data science, leadership, legal, finance).</li><li>
Superb attention to detail, sound judgment, and strong listening skills.</li><li>
Comfortable driving process improvement and proposing more efficient ways of working.</li><li>
Passion for data-driven products and cross-functional collaboration.</li></ul>
Minimum Qualifications:<ul><li>
3-5+ years of project management experience or related experience.</li><li>
Bachelor&rsquo;s degree or equivalent experience in a related field.</li></ul>
Preferred Qualifications:<ul><li>
Proven track record managing large, cross-functional data or technical projects.</li><li>
Experience managing a high volume of projects in parallel.</li><li>
Experience with data, engineering, or analytics project types.Benefits</li></ul><ul><li>
Bi-annual performance bonus structure</li><li>
Generous equity grant vested over 4 years</li><li>
Up to $15k Relocation bonus</li><li>
$10K housing bonus (if you live within 0.5 miles of our office)</li><li>
$1.5K monthly stipend for meals</li><li>
Free Equinox membership</li><li>
$200 monthly laundry reimbursement</li><li>
$200 monthly personal wellness reimbursement</li><li>
Health, Dental, Vision insurance</li></ul>
Compensation Range: $130K - $180K</div>

Project Manager, Data Team

Instabase

<div><div>At Instabase, we're passionate about democratizing access to cutting-edge AI innovation to enable any organization to solve previously unsolvable unstructured data problems in their industry. With customers representing some of the largest and most complex organizations in the world, and investors like Greylock, Andreessen Horowitz, and Index Ventures, our market opportunity is near infinite.

Instabase offers a consumption-based pricing model where customers can pay only for what they use, aligning directly with the value our products deliver. It empowers our clients to explore our AI Hub platform features extensively, enabling them to uncover crucial business insights. This customer-centric model allows Instabase to glean insights from diverse use cases and behaviors, ensuring we deliver top-tier solutions that provide unmatched advantages for everyday business operations.

With offices in San Francisco and Bengaluru, Instabase is a truly global company. We are people-first, and we've built a fearlessly experimental, endlessly curious, customer obsessed team who work together and help organizations around the world turn their unstructured data into insights instantly.</div><h1 class="jobSectionHeader">
Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents</h1>
<h2 class="jobSectionHeader">About Instabase and the Evolution of Our Business Model</h2>

Instabase is the pioneer in helping the world's largest enterprises&mdash;including global banks, insurance leaders, and healthcare giants&mdash;unlock and automate value from unstructured data. Our core platform is the industry standard for reading, understanding, and processing complex, unstructured documents at massive scale.

As a strategic addition to our current business model, we are building SuperApp, our natively multimodal, stateful AI assistant and autonomous agent platform. SuperApp represents the next evolution of Instabase: moving from passive document extraction to active, self-correcting agentic execution. By combining our enterprise-grade document understanding with secure, real-time sandboxed code execution, SuperApp enables users to not only parse unstructured data but programmatically act on it, write and run execution scripts, orchestrate complex software tools over Model Context Protocol (MCP), and complete open-ended reasoning tasks in a secure environment.

To lead the engineering team behind this next-generation capability, we are seeking an elite, hands-on Technical Lead Manager (TLM) &mdash; AI Systems &amp; Agents.
<h2 class="jobSectionHeader">
The Role: Player-Coach Leadership</h2>

This is an high-impact, low-bureaucracy role designed for a world-class systems engineer and builder. We keep our teams intentionally lean and fast. You will serve as a Player-Coach leading a tight, elite squad of 3 to 5 AI systems engineers.

At Instabase, we believe managers of small teams should stay close to the metal. Your time will be split:
<ul>
<li>60% to 70% Hands-on Engineering: Actively designing multi-turn agent loops, writing production code, building secure sandboxing environments, and architecting systems.</li>
<li>30% to 40% Leadership &amp; Mentorship: Recruiting top-tier talent, mentoring engineers, reviewing PRs, and aligning product roadmaps with technical execution.</li>
</ul><h2 class="jobSectionHeader">What You Will Do</h2>
<ul><li>Architect Stateful Agent Loops: Design and implement highly reliable, multi-turn agentic planning and execution state machines capable of self-correction, tool orchestration, and long-context memory persistence.</li>
<li>Build Secure Execution Sandboxes: Own the runtime execution layer where model-generated code (such as Python data-analysis scripts) is safely isolated, monitored, and run in real-time without compromising enterprise security boundaries.</li>
<li>Pioneer Tool Orchestration &amp; MCP: Expand our agent capabilities by designing composable tool-calling integrations using Model Context Protocol (MCP) and custom API interfaces.</li>
<li>Build Evaluation &amp; Trajectory Testing Harnesses: Establish programmatic frameworks (using LLM-as-a-judge and trajectory evaluations) to test if agent loops, tool-calling selections, and error recoveries behave safely and deterministically.</li>
<li>Scale High-Performance Systems: Work on deep systems problems including latency optimization, semantic caching, speculative execution, and streaming intermediate agent states for a responsive user experience.</li>
<li>Scale the Team: Bootstrap, hire, and mentor a small, elite, high-velocity team of software and AI engineers.</li>
</ul><h2 class="jobSectionHeader">Our Technical Stack</h2>
<ul><li>Orchestration &amp; Frameworks: LangGraph, LangChain, Go/Python, React, Node, Next.js.</li>
<li>Infrastructure &amp; Security: Secure sandboxed runtimes (Docker, gVisor, WebAssembly), GCP, AWS, Kubernetes, Cloud SQL (PostgreSQL, TimescaleDB), Redis, Pub/Sub.</li>
<li>AI &amp; Models: Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines.</li>
<li>Standards: Model Context Protocol (MCP) tool schemas and APIs.</li>
</ul><h2 class="jobSectionHeader">About You</h2>
<ul><li>8+ Years of Professional Engineering Experience: A strong, proven background in software engineering, with significant tenure building and scaling backend systems, infrastructure, or platform services.</li>
<li>Active LLM &amp; Agentic Engineering Experience: Practical, hands-on experience building production-grade LLM applications, multi-agent workflows (using DAGs or state machines), or tool-calling executors.</li>
<li>Systems &amp; Infrastructure Rigor: Deep familiarity with building secure sandboxed runtimes, container isolation, API platforms, caching strategies, or high-throughput real-time data streaming.</li>
<li>Small-Team Leadership Experience: Proven track record of mentoring senior engineers, driving technical design reviews, and leading high-velocity squads as a Tech Lead, TLM, or hands-on EM.</li>
<li>An Active Builder: You love writing code. You are excited about the prospect of coding daily and staying out of the meetings and administrative bloat of traditional big-tech management.</li>
<li>Educational Background: BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a highly quantitative field.</li>
</ul>
Compensation: The base salary range for this role is $230,00 to $270,000 + bonus, equity, and benefits. The actual pay may vary based on factors such as location, experience, and skills.
<div>
<div>US Benefits:</div>
<ul><li>Flexible PTO: Because life is better when you actually live it!</li>
<li>Comprehensive Coverage: Top-notch medical, dental, and vision insurance.</li>
<li>401(k) with Matching: We've got your back for a secure future.</li>
<li>Parental Leave &amp; Fertility Benefits: Supporting you in growing your family, your way.</li>
<li>Therapy Sessions Covered: Mental health matters&mdash; 10 free sessions through Samata Health.</li>
<li>Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.</li>
<li>Lunch on Us: Enjoy a lunch credit when you're in the office.</li>
</ul>
#Li-Hybrid</div><div> 

</div><div>Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.</div></div>

Technical Lead Manager

Outcast

<div>Join Outcast
At Outcast, we don&rsquo;t just follow the future; we help shape it. We&rsquo;re a strategic communications agency trusted by the world&rsquo;s most groundbreaking startups and established technology brands. From AI to frontier tech, our clients are redefining what&rsquo;s possible, and we&rsquo;re the storytellers behind their success.
With deep expertise across earned, owned, and paid media, our teams craft narratives that cut through complexity and drive real impact. Backed by our global partnership in Marker Collective and as part of the Next15 Group, we bring bold thinking, creative storytelling, and data-driven strategy to every engagement.
We&rsquo;re looking for an Account Supervisor to join our San Francisco team. We want someone who understands emerging technology at a fundamental level and is excited to help translate complex innovations into stories that resonate with both technical and business audiences.
About You
You&rsquo;re a strategic communicator with a deep curiosity for how technology works, not just what it does. You&rsquo;re fluent in the language of AI, developer platforms, and emerging tech, and you know how to turn complex concepts into compelling narratives that land with both technical and non-technical audiences.
You bring a strong point of view to your work, and senior clients rely on you for perspective and counsel. You lead with clarity and accountability, balancing high-level strategy with strong execution. You build and develop high-performing teams, create structure, and foster an environment where people grow.
You&rsquo;ve ideally worked with developer audiences, whether through APIs, infrastructure, open source, or enterprise platforms, and understand how to engage this community with credibility and nuance. You are an empathetic, reliable leader who builds strong client partnerships and navigates a fast-changing communications landscape with agility.
What You Do<ul><li>
Lead strategy and day-to-day oversight across multiple client accounts, ensuring alignment with business goals</li><li>
Serve as a senior advisor to executive stakeholders, delivering proactive counsel</li><li>
Shape positioning and messaging for emerging tech and AI companies, simplifying complex concepts into clear, differentiated stories</li><li>
Build and execute proactive media strategies, securing top-tier and trade coverage across business, tech, and AI-focused outlets</li><li>
Develop and oversee integrated communications programs across media relations, executive visibility, thought leadership, and campaigns</li><li>
Drive major announcements, product launches, funding news, and narrative development</li><li>
Identify timely storytelling opportunities tied to industry trends and cultural moments</li><li>
Maintain and strengthen relationships with top-tier media, analysts, and influencers</li><li>
Oversee quality of all deliverables, ensuring work is strategic, polished, and on brief</li><li>
Manage scopes of work, budgets, forecasting, staffing, and account profitability</li><li>
Lead client strategy meetings and act as a central point of contact for account health</li><li>
Guide teams in planning and execution with a big-picture perspective</li><li>
Support crisis communications with clear strategy and recommendations</li><li>
Develop high-level messaging and positioning; lead or support media training</li><li>
Identify organic growth opportunities and contribute to new business efforts</li><li>
Partner with cross-functional teams to deliver integrated programs</li><li>
Mentor and develop team members through coaching and feedback</li></ul>
Who You Are<ul><li>
8&ndash;10+ years of experience in public relations, corporate communications, or integrated marketing</li><li>
3&ndash;5+ years of experience managing and developing high-performing teams</li><li>
Deep experience in emerging tech, including AI/ML, developer platforms, cloud infrastructure, cybersecurity, or enterprise SaaS</li><li>
Experience working with or marketing to developer audiences (e.g., APIs, open source, technical products, engineering leaders)</li><li>
Proven success advising senior leaders and managing complex, multi-workstream programs</li><li>
Demonstrated ability to manage budgets, resourcing, and client profitability</li><li>
Exceptional writer and editor with experience shaping executive messaging and positioning</li><li>
Strong media acumen with an understanding of today&rsquo;s evolving earned landscape</li><li>
Confident communicator who can lead meetings, workshops, and strategic discussions</li><li>
Comfortable operating in fast-paced, high-growth environments with multiple stakeholders</li><li>
Champion the use of AI tools and emerging tech to enhance writing, research, and content production efficiency</li><li>
Bachelor&rsquo;s degree in Communications, Journalism, Marketing, or related field preferred</li></ul>
Why Outcast
A competitive compensation package, including:<ul><li>
Annual salary range of $125,000&ndash;$165,000 DOE</li><li>
401k with match</li><li>
Generous employer contributions toward insurance premiums</li><li>
Paid mental health benefits</li><li>
Unlimited vacation</li><li>
15+ paid holidays plus a paid end-of-year office closure</li><li>
Paid short-term disability and extensive parental leave benefits</li><li>
Cell phone reimbursement</li></ul>
Who We Are
Outcast is a strategic communications agency that helps startups and established brands shape the future through creative storytelling and data-driven strategies. With expertise across earned, owned, and paid media, we offer services like media relations, thought leadership, and content development. Our US and UK hubs enable global support, strengthened by our joint venture as Marker Collective and as part of the Next15 Group. We provide counsel that&rsquo;s impactful, not just convenient, guiding clients through tough challenges as dedicated partners and truth-tellers. Our values&mdash;centered on inclusivity, innovation, and partnership&mdash;drive results for brands at every stage of growth.
Outcast is an equal opportunity employer. We are committed to building a workplace where inclusivity, creativity, and innovation thrive. We do not discriminate against any applicant or employee based on race, color, national origin, sex, gender identity, sexual orientation, age, disability, religion, veteran status, or any other characteristic protected by law.</div>

Account Director (AI / Emerging Tech)

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

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity<h3 class="jobSectionHeader">
About the Company</h3>
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.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: AI training data &amp; model evaluation infrastructure<h3 class="jobSectionHeader">
The Role</h3>
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.
What you'll be doing<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>
Tech stack: Python; data pipelines, APIs, ML/AI tooling<h3 class="jobSectionHeader">
Requirements</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">
Green Flags</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">
Red Flags</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">
Why Join</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">
Details</h3><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site &mdash; strictly in-person</li><li>
Compensation: $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</li><li>
Visa sponsorship: None available</li><li>
Employment type: Full-time</li></ul></div>

Strategic Projects Lead - Coding

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