finance transformation - anaplan solutions architect, sr. manager

project architect (interior design/architecture)

finance transformation - anaplan solutions architect, sr. manager Jobs in San Francisco

project architect (interior design/architecture) Jobs in San Francisco

s&t planner iii

anaplan model builder

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

Vast

<div><h1 class="jobSectionHeader">Developer Experience Engineer</h1>
Vast.ai &middot; Los Angeles or San Francisco Bay Area<h3 class="jobSectionHeader">
About Us</h3>
Vast.ai&rsquo;s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing&mdash;reshaping our future for the benefit of humanity.
We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.
We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.
We've never had a dedicated role focused on the developers who build on Vast: the people renting compute from us to train and ship their models. That's what we're hiring for. You'll be our first DevEx Engineer, and you'll own the experience of building on Vast: the reference implementations and example code developers copy, and how we show up in the community around them.<h2 class="jobSectionHeader"> 
Why now</h2>
There's already an active community around Vast in our Discord, on Reddit, on X, and in YouTube comments. Some of it is the builders you'll serve; some of it is hosts and noise. Nobody on our side is really in there today, and our competitors staff this heavily. So part of the job is showing up for the developers who are already here, and part of it is growing the right audience around them. 
 
What you'll own<ul><li>
Technical content. Tutorials, example repos, and short videos that show people how to get something running on Vast. The useful kind that developers pass around on their own.</li><li>
Product feedback. You'll hear what's broken before anyone else does. Get it back to the product team, clearly and often.</li><li>
Events. Run our presence at hackathons (we already have sponsorships lined up), meetups, and conferences, including getting on a plane and showing up in person.</li><li>
Community. Be a real presence in our Discord, on Reddit, and on X. Answer the actual technical questions people ask, the kind they post at 1am when a container won't start. Set the tone for how Vast talks to developers.</li><li>
Creator partnerships. Work with developer-focused YouTubers and other creators, the ones with real audiences rather than bought ones.</li></ul> 
What you won't own
To be straight about scope: this role doesn't cover paid ads, brand and positioning strategy, or the growth dashboard. It's also focused on the demand side, the developers who build on Vast, not our GPU hosts and suppliers, who have their own very different needs. Other people own all of that and you'll partner with them. We want your time going into the builder community and the content that serves it, because that's where it pays off. 
 
Who you are<ul><li>
You've been an engineer. You can deploy a model and debug someone's setup, and developers can tell you've done the work yourself. This part can't be faked.</li><li>
You've built a developer community before, ideally close to from scratch. You know what makes one grow and what quietly kills it.</li><li>
You like people more than most engineers do. Writing, posting, talking, showing up at events. That's the actual day-to-day.</li><li>
You run yourself. Nobody's going to hand you a content calendar, and you'd rather ship something than sit in a planning meeting about it.</li></ul> 
Nice to have<ul><li>
Time at a cloud, GPU, AI-infrastructure, or developer-tools company.</li><li>
Something you've made that traveled: a tutorial series people reference, a repo with real stars, a talk that got passed around.</li><li>
Working knowledge of the AI/ML stack: model deployment, inference, fine-tuning.</li></ul> 
Your first 90 days<ul><li>
Get a steady, regular presence going on Reddit and Discord.</li><li>
Ship your first batch of tutorials and example repos.</li><li>
Represent Vast at a hackathon we're already sponsoring this summer.</li><li>
Give us a clear read on how other GPU and AI-infra companies show up with developers, and where we're behind.</li></ul> 
Compensation and location
$160,000&ndash;$200,000 base depending on experience, plus equity. We're profitable, venture-backed, and growing, so the equity is a stake in a real company with a real valuation, not a lottery ticket. Los Angeles or San Francisco Bay Area. Travel and conference budget covered.<h3 class="jobSectionHeader">
Benefits</h3><ul><li>
Comprehensive health, dental, vision, and life insurance</li><li>
401(k) with company match</li><li>
Meaningful early-stage equity</li><li>
Onsite meals, snacks, and close collaboration with founders/tech leaders</li><li>
Ambitious, fast-paced startup culture where initiative is rewarded</li></ul>
Compensation Range: $160K - $200K</div>

Developer Experience Engineer

Homebase

<div>Hi, Future Homie!
At Homebase, you&rsquo;ll join a team that&rsquo;s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team.
We&rsquo;re not just building an app&mdash;we&rsquo;re building unstoppable teams. So what do you say, are you in? 
 Your Impact Starts Here
We're seeking a hands-on, creative Social Media Manager to build Homebase's organic social presence from the ground up. You'll own our content calendar, create native content on Instagram and TikTok, manage influencer and customer relationships, and coordinate across teams to keep our social channels moving at pace. This is a builder role &mdash; you'll be expanding on our foundations and building the systems to scale.<h2 class="jobSectionHeader">
These are the key ways you'll contribute and create impact in this role:</h2><ul><li>
Content Planning &amp; Publishing: Own the content calendar end-to-end, coordinating content development across internal and external teams, plus developing content yourself. Ensure all content is briefed, scheduled, and published on time.</li><li>
Content Creation: Develop native content for Instagram and TikTok &mdash; from concept through posting. Stay ahead of platform trends and publish content that resonates with small business owners and their teams.</li><li>
Customer &amp; Influencer Outreach: Build and manage relationships with customers and creators to generate authentic content for Homebase. Lead outreach and ongoing communications &mdash; from first contact through content delivery.</li><li>
Community Management: Be the voice of Homebase in the comments. Monitor and respond to comments, DMs, and mentions across platforms to drive two-way engagement and build a loyal, active community.</li><li>
Performance Reporting: Track and report on engagement metrics regularly, surfacing insights that inform content decisions and demonstrate impact against business and campaign goals.</li><li>
Team Coordination: Work closely with the Creative team on quality content and share best-performing content with the Growth team to support paid social campaigns.</li></ul>
The Foundation for Success - These are the experiences and strengths that will set you up for success in this role:<ul><li>
Social Media Experience: 3-5 years managing organic social media for a consumer or SMB brand, with a portfolio that demonstrates creative content and measurable engagement growth.</li><li>
Native Content Creator: Comfortable producing your own Instagram and TikTok content &mdash; shooting/designing, editing, and publishing &mdash; and staying current on what's performing on each platform.</li><li>
Customer &amp; Influencer Outreach: Experience managing creator or customer relationships end-to-end, from outreach and contracting through content delivery. Familiarity with tools like Aspire or similar influencer management platforms is a plus.</li><li>
Organizational skills: Experience managing a high-volume content calendar across multiple contributors, content streams, and deadlines.</li><li>
Analytical Mindset: Comfortable pulling reports from social analytics tools and translating engagement metrics into clear, actionable recommendations for the team.</li><li>
Embraces AI: Expected to continuously experiment with AI tools to improve workflows and scale impact.</li><li>
Builder Mentality: Energized by building systems and workflows from scratch, not just maintaining them. You're comfortable with ambiguity, operate well without heavy infrastructure, and move fast once you have direction.</li><li>
Team Player: Proven ability to work cross-functionally and communicate clearly with creative, organic, and freelance partners. Strong at managing up and keeping stakeholders aligned without being asked twice.</li></ul>
 The Homie Way - These principles guide everything we do&mdash;from how we work and make decisions to how we show up for each other.<ul><li>
Be Customer Obsessed &ndash; Solve problems with empathy and creativity.</li><li>
Move Fast, Learn Fast &ndash; Experiment, take action, and grow every day.</li><li>
Own Your Impact &ndash; Think big, focus on what matters, and make decisions you stand behind.</li><li>
Master Your Craft &ndash; Excellence fuels impact&mdash;show up, step up, and make your mark.</li><li>
Win Together &ndash; Put goals over roles, lead with trust, and connect to our mission and each other.</li></ul>
What We Offer (United States)<ul><li>
Ownership &amp; Financial Security: Stock options + 401(k) with 4% match</li><li>
Comprehensive Healthcare: Medical, dental, and vision coverage + FSA options</li><li>
Flexible Time: Unlimited PTO (salaried) + company holidays</li><li>
AI access, for real: We invest in builders and believe that curiosity shouldn't have a paywall. That means you'll have access to paid AI tools with minimal restrictions, so you can build, experiment, and level up your craft.</li><li>
Family Support: Up to 12 weeks of paid parental leave (after 6 months of service)</li><li>
Protection Plans: Life insurance + short/long-term disability coverage</li><li>
Work Your Way: Work From Anywhere Month + meeting-free weeks yearly</li><li>
Workspace Perks: Meals provided, commuter benefits, team offsites, and Customer Days</li><li>
Our Hybrid Rhythm: We believe collaboration drives impact. That&rsquo;s why Tuesday and Wednesday are our required in-office days&mdash;a time to move faster as a team, build deeper connections, make better decisions, and build together.</li></ul>
What We Offer (Canada)<ul><li>
Ownership &amp; Savings: Stock options + TFSA/RRSP with 4% company match</li><li>
Health &amp; Wellness: Comprehensive medical, dental, and vision for you and your dependents</li><li>
Time Flexibility: Flex time off + company holidays + designated focus periods</li><li>
AI access, for real: We invest in builders and believe that curiosity shouldn't have a paywall. That means you'll have access to paid AI tools with minimal restrictions, so you can build, experiment, and level up your craft.</li><li>
Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)</li><li>
Work Your Way: Work From Anywhere Month + meeting-free weeks yearly</li><li>
Protection Plans: Life insurance + short/long-term disability coverage</li><li>
Workspace Perks: Meals provided, team offsites, and Customer Days
</li><li>Our Hybrid Rhythm: We believe collaboration drives impact. That&rsquo;s why Tuesday and Wednesday are our required in-office days&mdash;a time to move faster as a team, build deeper connections, make better decisions, and build together.</li></ul>
What to Expect During the Interview Process
<ul><li>Meet the Talent Acquisition team, Rachel U.</li><li>
Meet the Hiring Manager, Katie D.</li><li>
Participate in a Case Study &amp; Presentation</li><li>
Meet with Cross-functional Partners, Chy S. &amp; Paxton M.</li><li>
Meet the Head of Growth Marketing, Jenna B.</li><li>
Background Check + Offer Stage</li><li>
Welcome to the team, Homie 
 
</li></ul>Belonging at Homebase - We're committed to fostering a welcoming space where every Homie can be their full self. Experience comes in many forms&mdash;so if you're excited about this role, even if you don&rsquo;t meet 100% of the qualifications, we encourage you to apply!
Homebase will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.
Hey, We&rsquo;re Homebase
Homebase is the everything app for hourly teams&mdash;built to simplify the day-to-day and superpower local businesses. With tools for scheduling, time clocks, payroll, communication, HR, and more, we help teams stay connected and in control. Today, over 150,000 small (but mighty) businesses rely on us to make work radically easier. Together, we&rsquo;ve tracked over a billion hours for 2M+ workers&mdash;and we&rsquo;re just getting started.
At Homebase, we celebrate diversity and are proud to be an equal opportunity employer. We welcome all candidates and do not discriminate based on any legally protected status. If you need accommodations during the hiring process, please let us know&mdash;we&rsquo;re committed to ensuring fair and equitable access for all.
Compensation Range: $75K - $120K</div>

Social Media Manager (Hybrid)

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $180,000&ndash;$220,000 + competitive equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech<h2 class="jobSectionHeader">
The Role</h2>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.
What you'll be doing<ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul>
Tech stack: Not specified<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $180,000&ndash;$220,000 + equity</li><li>
Visa sponsorship: O-1, OPT</li><li>
Employment type: Full-time</li></ul></div>

Software Engineer, RL Environments

Community Youth Center of San Francisco

<div><div>Job Announcement 
</div><div>
The Community Youth Center of San Francisco (CYC) provides the youth of our city a sense of belonging and vital tools and experiences to succeed in life. Our services include academic support and college counseling, job placement and employment training, substance use and violence prevention education, crisis intervention and mediation, leadership development, technology and computer training. Our mission is to encourage a diverse population of high-need young people to explore their full potential through academic, career, family, and community life. 
</div>
Title: Director of Human Resources &amp; Administration 
Salary: $130K - $140K per year with Excellent beneﬁts
 
Reports to: Executive Director 
Status: Full-Time, Exempt (1.00 FTE) 
 
CYC believes that each employee makes a signiﬁcant contribution to the mission and success of our youth. As a member of the senior management team, the HR Director, signiﬁcantly impacts the organization's strategic direction, culture, and overall success. This position will revise, create and oversee all people practices across the organization, and serve as a coach to managers and staff. 
 
DUTIES AND RESPONSIBILITIES:<div><ul><li>
Build and Optimize HR Practices End-to-End: Be a proactive HR leader with deep roots in the people function. Responsible for research, design, and effectively implementing comprehensive HR programs in the following areas: Talent Acquisition &amp; Retention, Onboarding, Compensation &amp; Beneﬁts, Performance Management, Talent Assessment and Development, Staff Engagement, and Employee Relations. Engage managers in these processes and apply change management and communication expertise.</li><li>
Develop, innovate and own the process for recruiting, interviewing, hiring, training, talent management, and change management across the organization.</li><li>
Maximize the use of ADP Workforce Now to conduct research of CYC&rsquo;s trends and people KPI&rsquo;s.</li><li>
Monitor and ensure the organization's compliance with federal, state, and local employment laws and regulations and recommended best practices; review and modify policies and procedures to maintain compliance.</li><li>
Employee Experience &amp; Engagement: Serve as a key strategic partner to the Executive Director and the Leadership Team to align HR programs and solutions to CYC&rsquo;s goals, culture, and mission.</li><li>
Provide consultation, guidance, and coaching to managers to address employee engagement, retention, behavior, and performance concerns. Provide advice and assist with developing and delivering appropriate feedback, development plans, or corrective actions.</li><li>
Facilitate professional development, training, and learning for all staff.</li><li>
Create and execute employee recognition and communication events and activities.</li><li>
Ensure HR practices are people-centric and DEI aligned.</li><li>
Lead and develop the skills and capabilities of the HR &amp; Administration Team.</li><li>
Effectively use and communicate a Total Compensation program.</li><li>
Other related duties as assigned.</li></ul></div><div></div><div>
QUALIFICATIONS:<ul><li>
Possess experience and ability to serve as a Coach, Facilitator, Counselor, Mentor, Leader to support growth and development of staff.</li><li>
Knowledge and ability to be a hands-on builder of HR processes and programs.</li><li>
Exceptional communication, inﬂuencing, and relationship-building skills.</li><li>
BA in Business Administration, HR, or related area. A relevant combination of skills and experience will be considered.</li><li>
5-7 years of experience leading the HR department, and supporting 100+ employees in multiple locations.</li><li>
Strong HR generalist background and hands-on approach. Conﬁdent in conducting training to staff and managers.</li><li>
Proven experience managing ambiguity and complex situations while keeping others engaged.</li><li>
Experience working with multicultural teams.</li><li>
Demonstrate ﬂexibility and adaptability in response to business pressures and people challenges.</li><li>
Ability to lift or move at least 25lbs.</li></ul>
CYC is an Equal Employment Opportunity employer and will not discriminate against any applicant or employee on the basis of race, age, religion, gender, marital status, national origin, citizenship, ancestry, physical or mental disability, veteran status, sexual orientation, or any other basis recognized by federal, state, or local law, including on the basis of the intersection of two or more protected characteristics, also known as intersectional discrimination. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.</div>
ZfpTigle7W</div>

Director of Human Resources & Administration

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

Miso Labs

<div>At Miso Labs, our goal is to pass the voice Turing test. In order to do so, we must move beyond the current STT-&gt;LLM-&gt;TTS paradigm, and train full-duplex speech-to-speech models. This requires exploring new architectural ideas, and scaling them rapidly.
We&rsquo;ve raised a large seed round from top investors and are hiring our founding research team. We&rsquo;re a small team, so you can expect to work on every part of the model training stack from small-scale architecture experiments, to large pre-training runs on up to 1000 H100s. We are an in-person culture in San Francisco, and you will be expected to relocate to the SF area (we will cover the moving costs).
It is important to us that team members get credit for their work. Outside of our core IP, researchers are encouraged to publish their work in conferences, and we are happy to sponsor travel to top conferences in AI/ML.
Preferred Qualifications:<ul><li>
Have a Bachelor&rsquo;s Degree in a technical field (Computer Science, Physics, Mathematics etc.) or equivalent experience</li><li>
Excited to work on all aspects of model training and development</li><li>
Are comfortable with both research and hands-on engineering</li><li>
Are capable of owning long-term research outcomes end-to-end</li><li>
Willing to learn technical skills quickly, in a self-directed manner</li><li>
Prior experience with both PyTorch and CUDA</li></ul>
If you&rsquo;re interested in this role, please apply even if you don&rsquo;t fit all the qualifications. We&rsquo;re more interested in evidence of exceptional ability than prior experience in deep learning/AI.
This role comes with full benefits including:<ul><li>
Healthcare, vision, and dental</li><li>
Stipend for gym</li><li>
Relocation bonus</li></ul>
Compensation Range: $400K - $500K</div>

Founding Researcher

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