Trabajos startup company en Daly City, CaliforniaCrear alertas

Job Description About Contrario Contrario (YC W25) is building an AI-powered recruiting marketplace that connects elite startup recruiters with fast-growing companies through software and operational tooling. We’ve raised $2.5M from Y Combinator and Nexus Venture Partners, with angels from Hudson River Trading, Stanford, and OpenAI. Our customers include 150+ YC and venture-backed startups hiring across engineering and GTM roles. The Role We’re hiring Talent Operators to join our team! As a Talent Operator, you are the engine of our marketplace. You will run full-cycle recruiting for our partners while actively stress-testing Contrario’s internal AI and tooling. You’ll be on the front lines, mastering the recruiting landscape before transitioning into broader operational or leadership roles. Once you master the recruitment landscape, we’ll increase your scope based on where you spike best. This could be account management, working with our recruiter network, or scaling internal systems. This is a role for someone who loves to win, thrives in fast-paced environments, and wants to see their direct impact on a company’s bottom line every single day. Compensation Base is $80k–$110k , and total comp ( OTE ) is ~ $140k-$170k+ (earnings are uncapped) Earnings-based compensation is directly tied to revenue generated off of successful placements. Growth Path We view the Talent Operator role as a proving ground for future leaders at Contrario. As an early team member, your path is based on where you "spike" and what you're passionate about: Account Management: Own the end-to-end relationship with our partner companies and recruiters. Recruitment Management: Scale and lead a team of Talent Operators as we grow. Marketplace Operations: Drive the supply and demand strategy for our marketplace. We are committed to investing in your growth. In exchange, we ask for high throughput, sharp judgment, and a "founder" mindset. What You’ll Do Master the Funnel: Source, screen, and manage candidates across multiple high-growth startup pipelines. Product Feedback Loop: Be the primary "power user" of Contrario’s AI features, providing direct feedback to our engineering team to help shape the product. Relationship Management: Act as a bridge between candidates and the elite startups we serve. Build the Playbook: Help us refine our internal operations and recruiting systems as we scale from 200 to 1,000+ customers. About You 0-2 years in operations, recruiting, or other high-signal backgrounds (consulting, IB, etc.) High agency and output-driven execution Comfortable managing high-volume, fast-moving workloads Low ego and highly coachable Based in or relocating to San Francisco About the interview 1. Initial Screen (20–30 min) with Will, Chief of Staff., 2. Take-Home Sourcing Exercise (2–3 hours, skippable), 3. Team Panel Interviews, 4. On-Site / Working Session (1-2 days) Benefts & Perks Premium Healthcare (medical, dental, vision) Annual Company Offsites (Hawaii, Cancun, Tokyo) Free lunches and dinners (+ unlimited snacks and drinks) Monthly wellness stipend (gym membership, equipment, whatever you prefer) Unlimited PTO (take time when you need it) Interview Process 1. Pending Approval, 2. Initial Screen with Will, 3. Take-home Assignment (skippable), 4. Team Interviews, 5. Onsite Work Trial, 6. Offer Extended, 7. Hired

Job DescriptionAbout Prelim Prelim builds digital account-opening infrastructure for community banks and credit unions. We've sustained over 100% ARR growth for four consecutive years on seed funding, and our platform sits in the critical path of how banks onboard their customers. When our system is down, a bank can't open accounts for its customers. We're a small team. You'd be our first dedicated security hire and help define the security program for the next generation of banking. What you'll own Secure SDLC: dependency scanning, static analysis, security review of high-risk changes, and coordinating annual penetration tests. Teach engineers to catch issues before you have to. Partner with DevOps on IAM, secrets management, network architecture, logging, and detection. Policies, risk assessment, and roadmap. Decide what a company our size and risk profile actually needs, and defend that reasoning to auditors, bankers, and internally. Own security questionnaires, vendor risk assessments, and customer security reviews. Banks conduct rigorous third-party risk management (often against FFIEC guidance). Endpoint management, access reviews, phishing resistance, offboarding hygiene. The unglamorous stuff that questionnaires ask about first. Own SOC 2 Type II end to end: control design, evidence collection, auditor management. Owning incident response, from writing the plan, to running the tabletops, and leading if it's ever real. Banks have breach-notification expectations in their contracts. You'll know them cold. What we're looking for 5+ years in security engineering, with breadth across appsec, cloud security, and compliance. Hands-on: you can read code, write scripts, and configure cloud controls yourself You've owned or heavily contributed to a SOC 2 audit (or ISO 27001 / equivalent) Experience answering enterprise or financial-institution security reviews. Strong written communication. Judgment about proportionality: you know which risks matter at our scale and which controls are theater Nice to have Fintech or banking-vendor experience; familiarity with FFIEC, GLBA, or bank third-party risk management Experience as a first or early security hire Detection engineering / SIEM experience Familiarity with core banking integrations or handling of PII/KYC data flows About Prelim Prelim is a San Francisco and New York City-based startup that operates with fully remote positions across the US, helping banks onboard their customers. Our platform is designed to streamline the account opening process for both consumers and businesses, accelerating speed-to-market and enhancing the customer experience for financial institutions. If you’re excited to help shape the future of the banking industry, we encourage you to apply and join our team at Prelim. We are seeking individuals who are driven, ambitious, and eager to make a real impact in a traditional industry ready for technological innovation. We offer equity, a sponsored 401K, parental leave, and fully paid health, vision, and dental insurance. Additional benefits include unlimited PTO, a remote work stipend, a life-style stipend, and twice-yearly company retreats. Prelim values diversity and inclusion; people of all backgrounds are welcome to join our mission to transform banking. Compensation Range: $240K - $260K

Job DescriptionCall Liza at 281-612-1870 for a quick phone screen Location: San Francisco, CA Job Type: Full-Time Pay: $30.00 - $40.00 per hour Work Environment: Onsite Join a Team Building the Future of Autonomous Transportation We are partnering with an innovative technology company that is transforming the future of mobility through the development of autonomous haulage systems. Their mission is to create transportation solutions that are safe, reliable, and scalable, and they are seeking skilled Vehicle Installation Technicians to help support rapid growth and manufacturing operations. If you have strong mechanical aptitude, enjoy hands-on technical work, and take pride in producing high-quality results, this is an excellent opportunity to join a cutting-edge organization at the forefront of autonomous vehicle technology. Available Shifts AM Shift: Monday-Friday, 6:00 AM - 2:30 PM PM Shift: Monday-Friday, 2:00 PM - 10:30 PM Training Schedule: All new hires will complete approximately two weeks of paid training on a Monday-Friday schedule from 9:00 AM - 5:00 PM before transitioning to their assigned shift. What You'll Do As a Vehicle Installation Technician, you will play a critical role in preparing vehicles for deployment by installing and validating advanced hardware systems. You'll follow standardized procedures and engineering specifications to ensure every installation meets quality and safety requirements. Key Responsibilities • Execute detailed installation procedures and technical work instructions on assigned vehicles., • Mount, align, and secure hardware components according to engineering specifications., • Route wiring harnesses and connect electrical components while maintaining proper cable management practices., • Perform system power-up procedures and validate hardware functionality., • Conduct inspections and quality assurance checks throughout the installation process., • Document completed work accurately and report issues, defects, or process concerns to supervisors and engineering teams., • Follow standard operating procedures and established workflows with precision., • Maintain a clean, organized, and safe work environment., • Support continuous improvement initiatives by identifying opportunities to improve efficiency and quality.What We're Looking ForRequired Qualifications, • High school diploma or equivalent., • Experience in hardware assembly, mechanical assembly, equipment installation, automotive work, manufacturing, or a related hands-on technical field., • Comfortable using hand tools and basic power tools., • Strong mechanical aptitude and problem-solving abilities., • Ability to read and follow technical instructions, diagrams, and assembly documentation., • Exceptional attention to detail and commitment to quality workmanship., • Strong communication and teamwork skills., • Ability to stand, bend, reach, and work around vehicles throughout the workday.Preferred Experience, • Automotive installation or technician experience., • Electrical wiring or harness routing experience., • Manufacturing or production environment experience., • Engineering technician or mechanical assembly experience.Why Join Us?, • Competitive pay: $30-$40 per hour, • Full-time, stable schedule, • Opportunity to work with advanced autonomous vehicle technology, • Join a fast-growing startup environment where your contributions have a direct impact, • Gain valuable experience supporting innovative transportation solutions, • Work alongside talented engineering and manufacturing professionalsInterview Process, • Agency Screening, • Virtual Interview, • Onsite Interview If you're a detail-oriented technician who enjoys hands-on work and wants to be part of building the future of autonomous transportation, we'd love to hear from you. #ZR Powered by JazzHR pBfrEeU8wE

Job Description About the company Our client is an investor-backed AI platform for property insurers and managing general agents, helping them improve catastrophe underwriting. Founded by Stanford structural engineering PhDs, the company brings technical depth and practical insurance insight to a consequential problem. This seed-stage business offers its first commercial hire broad influence on the company's direction. The role We are hiring a Founding GTM leader to build the entire go-to-market engine from zero. You will shape the ideal customer profile, create a focused outbound motion, develop warm and conference channels, and help turn early customer engagement into a repeatable enterprise sales process. What you'll do • Define and research the ideal customer profile across property insurers and MGAs., • Run thoughtful, low-volume outbound campaigns supported by strong account and contact research., • Build relationships through conferences, warm channels, and high-trust paths into enterprise insurance organizations., • Lead complex enterprise opportunities, including pilots, procurement, security reviews, and onboarding collateral., • Build the initial GTM infrastructure using Attio, Claude Code, and other AI tools., • Establish GTM metrics and operating rhythms from the beginning., • Bring structured product feedback from prospects and customers back to the founding team. Requirements What we're looking for • 2 to 5 years of experience in founding GTM, account executive, Chief of Staff, business operations, or former-founder work at a pre-seed or seed-stage company., • Experience selling to or operating within enterprise B2B environments., • Deep fluency with AI tools and their practical use in day-to-day work, beyond superficial familiarity., • Clear, human-sounding communication across outbound, internal, and customer-facing work., • Strong ownership and comfort building systems and processes from scratch., • Willingness to work evenings and weekends when the role requires it. Bonus points • Experience at a top venture-backed startup., • Experience building a GTM playbook from zero., • A degree from a top university, though this is not required. Benefits Compensation and benefits • On-target earnings of $140K to $160K, with a 50/50 base and variable compensation split., • Significant founding equity., • Medical, dental, and vision coverage., • 401(k) match., • Daily lunch., • Commute support., • Relocation support. Location and work model • Onsite in San Francisco five days per week., • Candidates must live in San Francisco or relocate within one month., • Visa sponsorship and visa transfers are available.

Job DescriptionAbout the Role Join an early-stage AI infrastructure company building tools for service businesses to coordinate AI workers and human decision-making. This is a flexible founding leadership role shaped around your strengths in engineering, product, or company operations, with the opportunity to help build the platform and its early team. What You'll Do Propose an area of ownership and define what you would deliver in your first 90 days. Help build and shape the platform for AI-enabled service businesses. Contribute in the area where you can have the greatest impact, including engineering, product, or company operations. For a technically focused candidate, take on technical leadership as the company builds its early engineering team. What We're Looking For Typically, 3 to 10 or more years of experience. Experience founding a company, serving as a startup CTO or first technical hire, or shipping a product recognized by its team. Alternatively, experience running a service business and understanding its operational needs firsthand. Ability to identify a meaningful area of ownership and explain how you would make progress in your first 90 days. Compensation & Benefits Annual salary range: $150,000 to $250,000 USD. Equity is available, with compensation and equity tailored to the candidate. Visa sponsorship is available. Location On-site in San Francisco, California, United States. Relocation support is available.

Job Description Habitat Health empowers older adults to experience more good days in their homes and communities. Through the Program of All-Inclusive Care for the Elderly (PACE), we provide comprehensive medical care along with support for daily needs such as meals, transportation, and in‑home assistance. We deliver coordinated clinical and social care in our centers and directly in participants' homes, creating a fully integrated experience that brings peace of mind and a true sense of belonging. As we expand our scalable, affordable PACE model to meet the growing and complex needs of aging populations, our mission‑driven care teams continue to help participants live well on their own terms. Habitat Health is supported by leading healthcare organizations and investors including New Enterprise Associates, Kaiser Permanente, and Town Hall Ventures. We are entering a period of significant growth and are looking for exceptional teammates to help us scale a better model of care for older adults. To learn more, visit www.habitathealth.com. Location: Candidates must reside in California, Bay Area or Greater Los Angeles preferred, and willing to travel up to 25% Role Scope: The Director of Partnerships is a high-impact, cross-functional role at the core of Habitat's thesis and operating model. This leader will facilitate pre-launch partner workstreams for new centers, mature our partner-facing operations, and nurture partner relationships from working team to executives. We are looking for a strategic, dynamic leader who can drive deep operational execution and vision-setting with senior stakeholders – an individual with strong communication skills, sound judgment applied to ambiguous operational problems, and a track record of success across cross-cutting priorities and complex organizational dynamics. Core Responsibilities & Expectations for the Role • Develop and manage partner relationships across all levels, from day-to-day operations to senior executives, • Strengthen partner-facing workflows and tools to improve care delivery, patient experience, and market performance, • Problem solve operational, partner-facing issues; derive systems-level insights, and design and deploy systematic solutions., • Build a scalable partnership management structure that supports new center launches and adapts across partner archetypes and markets., • Adapt Habitat's operations to support expansion into new markets and local partner needs., • Deliver executive updates to Habitat and partner leadership, connecting internal initiatives to external commitments., • Support broader strategic initiatives across the enterprise, particularly where they impact partnerships. Required Qualifications: • 6–10+ years of experience in healthcare industry focused on strategy, operations, partnerships, business development, consulting, • Experience in startup organization, • Experience leading complex, cross-functional work from problem definition through implementation., • Ability to bring structure to unclear problems, make practical tradeoffs, and drive outcomes across teams., • Excellent written and verbal communication skills, including comfort presenting to and influencing senior audiences., • Aligns with our purpose and our values, and is excited about living those out in daily practice., • Ability to thrive in a fast-paced, evolving environment with comfort navigating ambiguity, adapting quickly, and contributing to continuous improvement., • Strong learning and growth mindset, including seeking feedback, engaging in healthy debate and using data and curiosity to inform decisions., • Acts with integrity and ownership, considering the broader organizational impact, doing the right thing, and following through to deliver results., • Willingness to travel up to 25% Nice to have: • Value based care and/or health care delivery experience Compensation: The anticipated base salary range for this position is $159,000 – $186,000. This position is also eligible for a target annual bonus of 15% and may be eligible for additional incentive compensation, as applicable. The final compensation offered will be determined based on factors including, but not limited to, the candidate's qualifications, skills, experience, education, certifications, geographical location, and business needs. In addition, this position is eligible for a comprehensive benefits package, including medical, dental, and vision insurance; paid parental leave, short- and long-term disability coverage; life insurance; flexible spending accounts; a 401(k) savings plan that includes a match; paid time off; and company paid holidays. At-Will Employment Employment with Habitat Health is at-will. This means that either the employee or the employer may terminate the employment relationship at any time, with or without cause, and with or without notice, subject to applicable law. Nothing in this job posting or any other company document is intended to create a contract of employment, express or implied, or to alter the at-will nature of employment. Any written or oral statements to the contrary are not authorized unless made in writing and signed by an authorized representative of the Company. Because this is a remote position, employment will be governed by the laws applicable to the employee's work location, and applicable legal requirements will be followed. Vaccination Policy, including COVID-19 To help maintain a safe environment for our participants and team members, Habitat Health maintains vaccination and infection control policies applicable to certain roles and work locations. For COVID-19 and influenza, team members who are working in a participant care setting are required to provide either proof of vaccination or a signed declination form and comply with applicable masking requirements while in a care setting to the extent permitted by law in the applicable jurisdiction. Habitat Health will consider requests for reasonable accommodation based on an applicant's disability, medical condition, or sincerely held religious belief, practice, or observance in accordance with applicable law. As a condition of employment, team members are expected to comply with all applicable infection control protocols, personal protective equipment (PPE) requirements, and vaccination requirements associated with their role and work location, and to the extent required by law and as permitted in the applicable jurisdiction. Our Commitment to Equal Opportunity and Inclusion Habitat Health is an Equal Opportunity Employer committed to the principles of equal opportunity and inclusion. Employment decisions at Habitat Health are based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity, gender expression, sexual orientation, marital status, registered domestic partner status, age, national origin, ancestry, citizenship, military or veteran status, physical or mental disability, medical condition, genetic information, reproductive health decision-making, or any other characteristic protected by applicable federal, state, or local law. Habitat Health is committed to the full inclusion of all qualified individuals. Consistent with applicable law, we provide reasonable accommodations to qualified individuals with disabilities and to individuals with religious beliefs, practices, or observances that require accommodation. If you require a reasonable accommodation to participate in the application or interview process, perform the essential functions of a position, or receive other employment benefits and privileges, please contact us at careers@habitathealth.com. We encourage individuals from all backgrounds to apply, even if their experience does not align perfectly with every qualification listed. E-Verify Participation Notice Habitat Health participates in E-Verify and will provide the federal government with information from your Form I-9 to confirm your authorization to work in the United States. If E-Verify cannot confirm your authorization to work, Habitat Health will provide you with written instructions and an opportunity to contact the Department of Homeland Security (DHS) and/or the Social Security Administration (SSA) to resolve the issue before any adverse employment action is taken, including termination of employment. E-Verify is used only after an applicant has accepted an offer of employment and completed the Form I-9 and to the extent permitted by applicable law. Habitat Health complies with all federal and state employment eligibility verification requirements. Beware of Scams and Fraud Habitat Health is committed to protecting job seekers from recruitment scams. Please ensure that you submit applications only through Habitat Health's official careers website or authorized job boards. Official communications from Habitat Health recruiters and team members will come from email addresses ending in @habitathealth.com. Habitat Health will never ask applicants to pay fees, purchase equipment, or provide sensitive financial information as part of the recruiting or hiring process. If you receive suspicious communications claiming to represent Habitat Health, we encourage you to exercise caution and independently verify the communication before responding. If you believe you have been the victim of a recruitment scam or fraudulent job posting, please report the incident to the Federal Trade Commission (FTC) through its fraud reporting website at reportfraud.ftc.gov.

Job Description Join LeapXpert: Innovating the Future of Business Communication At LeapXpert, we've built the infrastructure that turns enterprise communication into intelligence enterprises can act on. As the leader in Governed Communication Intelligence, our platform enables employees to connect with clients on the consumer messaging channels they actually use, governs and captures every conversation as enterprise data, and converts that data into deployable intelligence for teams, AI agents, and the business decisions that matter. Governance is the foundation. Intelligence is the value. Our mission: enable enterprises to build a governed communication infrastructure that makes trust structural, intelligence compound, and every client relationship more productive. We recently announced a $180M growth investment and are recognized as a Visionary in the Gartner Magic Quadrant for Digital Communications Governance and Archiving for the second consecutive year. Hundreds of the world's most demanding enterprises trust LeapXpert to power their most important client conversations every day. This is just the beginning. We're growing fast and looking for sharp, driven people to help us define and build the Governed Communication Intelligence category. At LeapXpert, you'll work on high-impact projects, collaborate with ambitious teams across the globe, and help shape a platform that is rewriting how enterprises communicate, govern, and compete. Apply now. About the role Title: VP of Business Operations Function: Operations Reporting: CEO This is a step-up role for a high-slope operator ready to work at VP altitude, directly alongside the Founder & CEO. You will be the CEO's operational force multiplier: in the room for the meetings that matter, converting decisions into action items, and driving follow-through across executives, functions, and geographies until things are actually done. Equally, you will own the company's data enablement agenda — building the instrumentation, metrics, and operating cadence that make LeapXpert a genuinely data-driven company. This is not a reporting job or an analyst job. You will get your hands dirty designing dashboards, defining metrics, wiring up data pipelineswith modern AI tooling, and then using that data to unify processes and hold stakeholders accountable, with the CEO's explicit backing. The right person sees this as a career-defining accelerant: unusual access, unusual scope, and direct exposure to how a PE-backed, category-leading company is run. Why This Role • Direct, daily partnership with a founder CEO scaling a category leader post-growth-round, • A genuine step-up: VP scope and visibility for someone ready to grow into it fast, • License to build — the data and process foundation you create becomes how the company runs, • Front-row seat to strategy, M&A, board dynamics, and AI-native company building What you'll do • Extend the CEO's reach, • Join CEO meetings across leadership, product, GTM, and board-adjacent workstreams; capture decisions and action items; own follow-up to completion across all roles and time zones, • Run the operating cadence: weekly leadership rhythms, cross-functional syncs, offsite follow-through, and escalation when commitments slip, • Prepare briefs, pre-reads, and decision documents so the CEO's time is spent deciding, not chasing, • Build the data-driven operating system, • Design and drive company-wide data instrumentation: a CEO dashboard, company velocity metrics, and function-level KPIs that leaders actually use, • Partner with R&D, GTM, Finance, and People to define metrics, establish data hygiene, and close instrumentation gaps, • Personally prototype and ship internal tooling using AI-native workflows (Claude, agents, automation) — you build first, delegate second, • Unify process and drive accountability, • Standardize how initiatives are proposed, approved, tracked, and reviewed across a multi-geography organization, • Own stage-gate and program governance for cross-functional initiatives, from regional deployments to transformation programs, • Surface misalignment and blockers early, and resolve them — diplomatically where possible, directly where necessary, • Accelerate AI-native transformation, • Champion and operationalize the company's AI proficiency standard across senior leadership, • Identify workflows across the company that should be re-built AI-first, and drive the change What You Bring • 6–10 years of experience with clear evidence of a steep trajectory: startup operating experience (BizOps, Chief of Staff, strategy & ops, founder, or top-tier consulting followed by an operating role), • AI-native with proof points — you don't just talk about AI; you can show tools you've built, workflows you've automated, and measurable outcomes. Fluency with modern AI tooling (LLMs, agents, code generation) is a hard requirement, • Deep conviction in data-driven decision-making, with hands-on skills to match: SQL and/or modern BI, comfort with data modeling, and the ability to build dashboards yourself rather than filing tickets, • Exceptional follow-through: you are the person who never drops a thread, and people trust that what you track gets done, • High EQ and low ego — you'll be carrying the CEO's mandate across senior leaders, which requires influence, tact, and the confidence to hold people accountable without formal authority, • Comfort with ambiguity, speed, and a global operating rhythm (early/late calls across US, Israel, and APAC time zones), • Bay Area-based, with willingness to travel to company hubs and offsites. Nice-to-have • Experience in enterprise SaaS, fintech, regtech, or other regulated-industry software, • Exposure to PE- or growth-backed environments and board-level operating cadences, • Program management of M&A integration, transformation, or company-wide change initiatives Our values • Curiosity: We're curious and future-focused., • One Team: We're one team, in many colors., • Customer-Driven: We're obsessed with the customer., • Integrity: We don't compromise on integrity., • Excellence: We exemplify excellence. LeapXpert values diversity and inclusion as critical components of our culture and success. We believe a diverse team with varied backgrounds, experiences, and perspectives fosters creativity, innovation, and mutual respect. We are committed to creating a welcoming and supportive environment where everyone can thrive regardless of ethnicity, gender identity, sexual orientation, age, religion, or ability. We actively seek to recruit and retain talent from diverse communities and encourage all qualified candidates to apply. Please submit your resume for consideration.

Job Description Machines learned to understand language. We’re teaching them to understand matter. Forty percent of global manufacturing happens through physical and chemical processes inside pipes, tanks, and reactors. Despite decades of industrial automation, much of what happens inside them remains remarkably invisible. Manufacturing is the most ubiquitous and foundational sector in global economy, yet the way factories are fundamentally run have used the same control philosophies, manual operations, and legacy software for the past 60 years. Laminar deploys state-of-the-art patented sensors and edge hardware directly into live production environments, generating data that didn’t previously exist to build foundation models deployed in factory floors that understand chemistry, composition, quality, and material state in real time. We use that understanding to run autonomy and rethink how things are made. The last generation of industrial automation taught machines to execute instructions reliably. The next will teach them to understand the processes they control and run autonomously, adaptively, and agentically: higher quality, safety, more efficiently, sustainably, and productively. That future is already taking shape. Today, Laminar works with 7 of the world’s 10 largest food and beverage manufacturers and operates across hundreds of factories globally across six continents. Our systems have materially reduced waste, cut manufacturing downtime, saved water, chemicals, energy, and helped prevent safety and quality failures. Our technology has gained international recognition, from being selected as a 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, to Innovator Awards by both Coca-Cola and AB InBev, and more. We are backed by tier-one investors in physical AI to make intelligent, self-improving production the new standard for industry. Join us to build what makes matter intelligible, and the intelligible controllable. The Role Work directly with Laminar’s founders to decide where we invest and build the capabilities that take us toward $100M in revenue. You’ll combine financial judgment with hands-on execution, taking important initiatives from an initial idea to a functioning part of the business. What You Will Own • Turn company priorities into operating plans, budgets, and hiring decisions grounded in deployment economics, • Build and launch strategic initiatives, from an expert-advisory offering to new markets and partnerships, • Develop financial models and performance reporting that guide resource allocation, • Partner with the founders on fundraising strategy, investor materials, and diligence, • Recruit initial teams and lead initiatives until they have a permanent ownerWhat You’ll Bring Experience in startup operations, consulting, finance, or investing, with evidence that you’ve built something and made it work. You’re analytically strong, comfortable working across technical and commercial teams, and willing to take responsibility through execution. Your opportunity Build a broad operating mandate, with room to lead a function or business as Laminar grows. Benefits • Direct impact on product and culture., • Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more., • 401k plan with employer matching, • Equity, • Competitive salary and bonus opportunities., • Dynamic and inclusive work environment., • Opportunities for growth and professional development., • Access to Greentown Labs' extensive network of cleantech startups., • Transportation benefit for your commute, • A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team eventsLearn How We Think, • Learn about our startup journey: Our Journey, • How we're combating climate change: AI-Powered Climate Tech, • Customer story: Unilever uses Laminar precision automation to cut time & water usage There are many easier places to work on AI. Laminar is for people who want the hardest version of their discipline. Models here must survive contact with physics. Hardware must survive years of continuous industrial operation. Software must integrate with machinery built decades ago. Everything we build ultimately has to work on a factory floor. We believe exceptional people should be given exceptional amounts of ownership. At Laminar, you will have the context to form your own view, the permission to challenge ours, and the resources to pursue the right answers, whatever technical or organizational boundaries stand in the way. There are few layers between identifying something important and changing it. We’re fortunate to work with a small polymathic team of hardware and software engineers, chemists, AI researchers, factory operators, and go-to-market wizards who are unusually capable, curious, rigorous, ambitious, and low-ego. If that sounds like you, we’d love to meet you. Our Interview Process 1. Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes) 2. Intro call with Hiring Manager (30 minutes) 3. On-site interview, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually. 4. Finalists for Full-Time positions will have a Founder’s Interview in-person Final steps: Two professional references are requested, ideally one from your current organization and one who served as your Manager If an Offer Letter is extended, a Background check is conducted * Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the company Our client is a Series A enterprise AI company that turns complex business processes into reliable software. Its technology powers critical workflows for Fortune 500 companies with more than 98% quality across over 500,000 production runs. The company has raised $50 million from leading technology investors, is valued at approximately $500 million, and is scaling rapidly from an early-stage team. About the role We are hiring the first dedicated operations and compliance leader to build the compliance function from the ground up and accelerate enterprise go-to-market execution. The role combines compliance, security coordination, GTM enablement, finance operations, and general company-building. You will work onsite five days per week in San Francisco, which is preferred, or New York. What you will do • Own and build the compliance program across SOC 2, HIPAA, ISO 27001, PCI DSS, and related frameworks, • Accelerate enterprise deals by managing security reviews and vendor questionnaires, • Design and automate operational processes using AI and LLM tools, • Coordinate security, finance, go-to-market, and other cross-functional workstreams, • Reduce manual compliance work through better systems, documentation, and automation, • Define a meaningful portion of the role based on evolving company needs, • Build the operating rhythm for a new function in a fast-growing environment Requirements What we are looking for • Experience in product strategy, management consulting, or startup operations, with direct exposure to Payments, Accounting, or Insurance, • A top tier management consulting background, or startup and founder experience at Seed to Series C where you wore many hats across sales, implementation, and strategy, • A track record taking a new product or a new market from zero to one, and owning the outcome, • P&L ownership, or M&A and diligence experience running several workstreams at once (banking, private equity, venture, or corporate development also work), • Built and executed go to market strategies for B2B SaaS products yourself, not just contributed to them, • Bachelor's degree from a top tier university Bonus points • MBA, or a top tier management consulting pedigree, • CPA, or hands on experience with payment processing, AP and AR, • Comfort demoing a technical product to enterprise buyers Location and work model • New York City, hybrid, 4 to 5 days per week in office, • Some travel as needed, • Open to visa transfers (OPT and H1B transfersWhat we are looking for, • Three to seven years of experience in business operations, consulting, compliance, or a chief of staff role, • Hands-on exposure to at least one compliance program or framework such as SOC 2, HIPAA, ISO 27001, or PCI DSS, • Experience at a high-growth Series A to Series C startup or in a top-tier consulting environment, • A generalist operator who is comfortable building processes from scratch, • Active use of AI or LLM tools to automate repetitive work, • Strong communication, presentation, project management, and cross-functional coordination skills, • Willingness to work onsite full-time in San Francisco or New York Nice to have • Experience accelerating enterprise sales through security and compliance work, • Familiarity with GRC platforms and cloud infrastructure, • Finance operations or security operations exposure, • Experience supporting Fortune 500 customers Benefits • $100,000 to $210,000, plus competitive equity in a company valued above $2B, • 100% covered medical, dental, and vision, • Unlimited PTO, • All meals provided in the office, • Relocation package, • Commuter benefit• Base salary of $180,000 to $225,000, • Substantial early-stage equity, • Preventive medical, dental, and vision care covered at 100%, • Flexible spending accounts, long-term disability coverage, and life insurance, • Visa transfers and new sponsorships may be considered for qualified candidates

Job DescriptionVP of OperationsRemote, US About Nametag Nametag is building the future of secure digital identity. Our mission is to protect every human identity to restore trust in the AI era. We bring workforce-grade identity verification into the enterprise to verify the human behind accounts and critical actions. Today, global enterprises use Nametag across their workforce to prevent social engineering and deepfake impersonation attacks. The Role The VP of Operations owns the company-wide operating system that turns strategy into coordinated execution. You will connect priorities, investments, resources, and performance across Product, Engineering, Go-to-Market, Finance, and People so the company moves with speed and cohesion as it scales. This is a hands-on builder role for a highly organized operator who can see around corners, connect dots across functions, and bring clarity to a fast-moving environment. You will partner closely with the CEO and leadership team to determine what matters most, keep decisions and commitments moving, and ensure teams stay aligned from product investment through commercial execution while developing consistency across the company for effective and efficient operations. What You'll Do • Company operating rhythm and strategic alignment, • Run the rhythm of the business, including leadership meetings, company planning, business reviews, and two to three company offsites each year. Translate strategy into a clear portfolio of priorities, decisions, owners, and milestones; track actions through closure. Connect dependencies across functions, surface conflicts early, and help leaders make explicit trade-offs about where the company invests time, talent, and capital., • Portfolio prioritization, investment, and resourcing, • Build and run a disciplined intake and prioritization process for company-level and cross-functional initiatives. In partnership with Finance, define business cases, funding decisions, performance gates, and stop or-scale criteria for key investments. Partner with People/HR on organization design, headcount, contractor, and capability planning aligned to strategy. Maintain a clear view of demand, capacity, cost, and trade-offs so leadership can allocate resources to the highest-impact work., • Systems, tools, and scalable infrastructure, • Assess the tools, data, processes, and operating infrastructure required to scale each function and the company as a whole. Establish clear ownership and standards, improve adoption and data quality, automate recurring work, and retire redundant or low-value tools and processes. Lead change with practical communication and enough flexibility to meet teams where they are., • OKRs, performance, and cross-functional execution, • Own the company OKR process and maintain credible scorecards and dashboards, including definitions, owners, data hygiene, and review cadence. Keep an initiative-level view of priorities, dependencies, risks, decisions, and expected outcomes. Use operational and financial data to identify patterns, challenge assumptions, and recommend action—not simply report status. Step in to drive critical cross-functional programs when focused ownership is needed. What You'll Bring • A highly organized, detail-oriented operating style: you create structure, follow through relentlessly, and can move between company-level context and execution details without losing either., • Exceptional ability to connect dots across functions, anticipate downstream implications, and preserve cohesion as priorities shift., • Strong prioritization and judgment. You distinguish urgent from important, frame trade-offs clearly, and help teams focus on the few outcomes that matter most., • Analytical fluency: you can read operating and financial data, find the signal, and turn it into a decision or recommendation., • Clear executive communication: you can compress ambiguity into a concise recommendation, facilitate a decision, and document what happens next., • Low-ego influence and the confidence to hold senior peers accountable without formal authority., • A self-starting, flexible, high-energy approach; comfort shifting between building systems, facilitating leaders, and solving an urgent execution problem. Sound judgment with sensitive and confidential information. Qualifications • 10+ years in business operations, strategy and operations, or a chief of staff role, including direct partnership with executives at a high-growth technology company., • A track record of building company operating cadence, planning, OKRs, and cross-functional execution systems—not only running a system someone else built., • Fluency in the operating mechanics of a technology business, including budgeting, forecasting, headcount planning, resource allocation, and performance metrics., • Experience evaluating and improving business systems and tools across functions; familiarity with CRM, BI, planning, and collaboration platforms., • Demonstrated cross-functional delivery across Product, Engineering, Go-to-Market, Finance, and People/HR, including demand and capacity management across competing priorities., • Experience owning an operating budget and vendor portfolio. Bachelor's degree or equivalent practical experience; MBA is a plus, not required., • Experience in a venture-backed startup is strongly preferred; familiarity with security, identity, or SaaS is a plus.What We Value, • Intellectual horsepower. Quickly grasping complex technical and business concepts., • Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues., • Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats., • Ownership mindset. You care about uptime and stability the way a founder cares about the product.Culture & Perks At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together. • Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond., • Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places., • Flexible schedules: Work in your own time zone; we align key meetings across a shared window.We Offer, • Competitive salary, • Meaningful equity ownership, • Comprehensive health benefits (medical, dental, vision), • Flexible paid time off, • Quarterly team off-sites and travel support, • New computer hardware and equipment, • An inclusive environment where your voice has impact and your work drives change

Job Description About the company Our client is an AI research and data company focused exclusively on video. The company combines exabyte-scale video infrastructure, novel video-understanding techniques, and diverse data sources to create high-quality datasets for frontier AI labs, Fortune 100 companies, and fast-growing generative AI startups. Founded in 2022 and backed by leading venture investors, the team has grown rapidly to approximately 40 people. The role and why it matters You will be the founding growth hire for the company's expert-contributor platform, reporting directly to the COO. This is a zero-to-one operating role for someone who can acquire and activate contributors, build supply-side partnerships, improve retention, and turn funnel data into repeatable growth systems across physical AI and media-generation verticals. What you'll do • Build and own the contributor-platform growth engine from the ground up., • Design and run experiments to acquire expert contributors, improve signup-to-activation conversion, and retain top talent., • Develop partnerships with studios, creator networks, expert communities, and specialist firms., • Work hands-on with funnel data, dashboards, cohorts, and acquisition economics to identify bottlenecks and scale winning channels., • Run paid campaigns and creative acquisition programs with meaningful budget and autonomy., • Build lifecycle messaging, outbound, CRM, and workflow-automation systems that support contributor growth., • Translate contributor feedback and experiment results into improvements to onboarding, communications, incentives, product, and operations., • Present clear recommendations and results to company leadership under close strategic review. Requirements What we're looking for • 4 to 8 years of experience in growth marketing, growth operations, marketplace operations, or a closely related role., • Direct experience building a growth program or marketplace supply motion from zero to one., • Hands-on expertise with funnel data, cohort analysis, dashboards, experimentation, and acquisition economics., • A record of designing growth experiments, measuring results, and scaling the channels that work., • Strong communication and presentation skills, including the ability to explain decisions under probing., • Creativity, resourcefulness, high ownership, and comfort operating in ambiguity at a fast-moving startup., • Willingness to work on-site in San Francisco five days per week or relocate. Bonus points • Experience growing a contributor platform, creator network, expert community, or marketplace supply side., • Experience running paid campaigns through platforms such as Meta Ads or Google Ads., • Background in B2B SaaS, consumer marketplaces, AI data, or adjacent contributor-driven businesses., • Familiarity with CRM, outbound, lifecycle messaging, workflow automation, and SQL. Benefits Compensation, location, and benefits • $170K-$200K base salary, with flexibility up to approximately $250K for exceptional candidates., • Competitive equity and comprehensive benefits., • Full-time, on-site work in San Francisco five days per week., • Meals and rides home are covered., • Eligible existing visa transfers, including OPT and H-1B transfers, may be supported.

Job DescriptionAbout Handshake Handshake is the career network for the AI economy. 25 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others Build a massive, fast-growing business with billions in revenue About Handshake AI Handshake AI is the fastest-growing, most critical, and most revenue-generating part of Handshake's business. We power expert-labeled data collection at scale, matching domain experts with leading AI companies to train frontier models—and we're already a top-three player in one of the fastest-growing sectors in AI: human data. We have the opportunity to do for the AI data economy what LinkedIn did for professional networking: become the default platform where the work happens. About the Role We're hiring a VP of Product to lead product for Handshake AI. This is not a "head of" role in name only—you will be the product leader for one of the fastest-growing AI startups in the country, owning the strategy, roadmap, and execution that determines how fast and how well we scale. You'll sit at the center of a business that is compounding quickly: new customers, new data modalities, a growing operator and fellow ecosystem, and an increasingly complex set of platform needs. Your job is to turn that complexity into a coherent product organization—one with clear strategy, strong PM talent, and a roadmap that keeps pace with (and gets ahead of) the business. You'll report into the CPO, sit on the senior team, and partner directly with Engineering, Design, Operations, and Sales/Customer leadership to shape where Handshake AI goes next. What You'll Own Product Strategy & Vision. Set the product strategy for Handshake AI as a whole—across data modalities, the operator and fellow platforms, and customer-facing surfaces. Translate "become the career network and data engine for the AI economy" into a concrete, sequenced roadmap. Team Leadership. Build, lead, and grow a product organization of PMs across modalities and platform pods (e.g., Operator Experience, Fellow Experience, modality-specific pods like Coding). Hire exceptional product talent, set the bar for craft and rigor, and develop the managers and ICs on your team. Cross-Functional Partnership. Be the connective tissue between Engineering, Design, Operations, and GTM. Ensure the product org's priorities reflect both what customers need and what will scale the business fastest, and that trade-offs across pods are made coherently rather than in silos. Executive-Level Prioritization. Make and own the hard calls: which modalities to invest in, which platform capabilities to build now vs. later, and where to say no. Communicate strategy and trade-offs clearly to the exec team and the board. Metrics & Accountability. Define what success looks like for the product org—revenue enablement, quality outcomes, operator/fellow efficiency, time-to-launch for new modalities and customers—and hold the org accountable to it. Customer & Market Fluency. Spend real time with AI labs, enterprise customers, and internal stakeholders to understand how the market is evolving. Use that fluency to keep Handshake AI ahead of where the human-data category is heading, not just responsive to it. Scaling the Platform. Ensure the underlying product and operational platform can flex to new customer types, data types, and volumes—so growth in revenue doesn't require linear growth in headcount or one-off engineering. Desired Capabilities 12+ years in product management, including 4+ years as a senior product leader managing other PMs and managers, ideally at a high-growth startup. Experience owning product for a business (or major business line) growing quickly, with a demonstrated ability to build strategy and org structure that scale with revenue. Strong operational intuition—you've built or overseen platforms for internal users, operations teams, or complex two-sided marketplaces, not just consumer-facing features. Track record hiring and developing product talent, including PMs who own ambiguous, 0→1 problem spaces. Systems thinker who can hold a multi-modality, multi-stakeholder roadmap in their head and make coherent trade-offs across it. Comfortable operating in high ambiguity: the market, the customer needs, and the product surface area are all still being defined. Data-informed but action-oriented—you use metrics to prioritize, but you move with conviction when the signal is directional rather than definitive. Excellent executive communication; you can represent product strategy credibly to the C-suite, the board, and customers. Bonus Points Experience in human data, annotation/labeling, RLHF, or AI training data ecosystems. Experience building or scaling a marketplace or platform business (two-sided, operator/worker-facing, or similar). Prior experience at a fast-growing AI lab, data company, or enterprise SaaS company through a period of hypergrowth. Experience building career, talent, or workforce products. We Offer Handshake delivers benefits that help you feel supported and thrive at work and in life. The below benefits are for full-time US employees. Ownership: Equity in a fast-growing company Financial Wellness: 401(k) match, competitive compensation, financial coaching Family Support: Paid parental leave, fertility benefits, parental coaching Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend Growth: $2,000 learning stipend, ongoing development Remote & Office: Internet, commuting, and free lunch/gym in our SF office Time Off: Flexible PTO, 15 holidays + 2 flex days Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers. Compensation Range: $340K - $380K

Job Description JOB DESCRIPTION Canopy Connect is building the infrastructure that powers best-in-class insurance experiences. We empower consumers to gain value and convenience from their own data, and we enable businesses to securely and quickly support their customers. We’re recruiting a tenacious, quick-witted, and curious VP of Operations to serve as the founding member of our Operations team. This is a highly-visible role that will work extensively with our CEO as well as several internal and external counterparts. The successful candidate will have a substantial impact on the organization and serve as Canopy Connect’s primary “go-to” person, on issues both large and small. We’re looking for a true generalist who can seamlessly switch between the core competencies listed below. If you’re a “Jack of All Trades” looking for a self-directed, challenging, and highly-rewarding role in a collegiate environment, let’s talk! Core Competencies: • Human Resources, • Hiring, onboarding, benefits administration, coordination of team events, managing online employer reputation to attract top talent, • Finance, • FP&A, A/R & A/P, drafting investor updates, pricing/packaging construction, liaise with external accounting firm, • Legal, • Take ownership of compliance matters, prepare and update legal documents, liaise with external counsel, • Strategic, • Design & track OKRs, support partnership development efforts, lead special projects, • Ad hoc, • Manage CEO & general company email/mail correspondence, other ops tasks as needed Primary working partners: • CEO, • Sales, • Recruiting (internal), • Accounting (external), • Legal (external) About you: • 5+ years professional experience, • Experience in B2B SaaS, particularly at a product-led growth org with DTC/SMB and enterprise lines of business (Stripe, Slack, Grammarly, etc.), • Experience at a Series A or earlier startup, • Self-motivated, resourceful, and comfortable working in nebulous environments with minimal oversight, • Clear, concise, and confident communicator (both written and verbal), • Lifelong learner, • Extraordinarily organized Bonus points for: • Experience at a company selling APIs and/or data (vs. a platform), • Experience in insurance, payments, banking, FinTech, and/or InsurTech, • Experience at hypergrowth startup that scaled substantially during your tenure, • Prior roles in BizOps, Special Projects, or Strategy, • Prior experience as a founder

Job Description About Neonline Logistics Neonline Logistics is a rapidly growing final-mile and time-critical freight company operating across major U.S. markets. We specialize in on-demand, airport-rooted delivery solutions for clients who cannot afford to miss a window — from temperature-sensitive medical freight to high-priority commercial cargo. We are building a team of operators who think like owners, move fast, and hold themselves to a higher standard. Our culture is built on accountability, direct communication, and genuine investment in the people who grow with us. Please fill up this form: https://neonlinelogistics.com/neonline-application-branch-manager/ Position Summary The Branch Manager – Northern West Coast is a senior operational leadership role responsible for the full performance of Neonline's SFO station. This individual owns driver growth, fleet coordination, client relationship management, regulatory compliance, and station P&L. They are the face of Neonline Logistics in the Bay Area market. This role is designed for a proven logistics operator with deep roots in time-critical, airport-based freight — someone who understands the urgency of every pickup, the non-negotiability of compliance, and the value of strong client relationships built over years in the field. Key Responsibilities Station Leadership & Operations • Own and manage all daily operations at the SFO station, ensuring service standards, compliance, and performance targets are met consistently, • Work directly with the Director of Operations and CEO during the first 90 days to absorb company vision, co-develop Standard Operating Procedures (SOPs), and establish the foundation for sustainable station growth, • Build, train, and develop a high-performing team — leading by example in a fast-paced, 24/7 logistics environment, • Conduct monthly all-hands driver meetings to review performance metrics, protocols, and company updates, • Deliver structured team training on a weekly or monthly basis based on operational requirements Driver Recruitment & Workforce Growth • Manage and retain a fleet of drivers across all vehicle classes: Car, Van, Truck, Box Truck, Tractor Trailer, Reefer Van, and Reefer Truck, • Develop driver retention programs and maintain engagement through consistent communication, performance recognition, and professional development, • Monitor individual driver performance and implement corrective action or coaching plans as needed Client Relationship Management & Business Development • Serve as the primary operational point of contact for all SFO-based clients — building trust, resolving service issues, and maintaining long-term partnerships, • Represent Neonline Logistics on client calls and meetings, providing ground-level operational expertise and credibility, • Identify and develop new business opportunities within the Northern West Coast market, • Earn commission on net new client accounts brought in directly — with full company support in the sales process, • Work cross-functionally with the sales team to ensure seamless client onboarding and ongoing satisfaction Compliance, Safety & Quality Standards • Ensure full compliance with all TSA regulations, DOT requirements, and airport authority protocols at all times — zero tolerance for gaps, • Oversee the proper handling, documentation, and chain-of-custody for temperature-sensitive freight, including dry ice and cold-chain shipments, • Maintain up-to-date knowledge of federal, state, and local transportation regulations affecting final-mile and airport cargo operations, • Ensure all drivers and station personnel meet badging, credentialing, and security clearance requirements, • Conduct regular audits of operational procedures to identify compliance risks and implement corrective measures proactively Performance Management & Reporting • Own the SFO station P&L — managing costs, maximizing revenue, and delivering consistent quarter-over-quarter growth, • Track, analyze, and report on all key performance indicators on a regular cadence to the Director of Operations, • Utilize technology platforms and AI-driven tools to optimize route efficiency, dispatch operations, and workforce scheduling, • Contribute to company-wide strategic planning discussions and represent SFO's needs and opportunities at the leadership level. Qualifications & Experience Required • 5+ years of progressive experience in time-critical medical or freight logistics operations, with at least 2 years in a leadership or management capacity, • Demonstrated experience in airport ground operations with a thorough, working knowledge of TSA regulations, DOT compliance, and airport credentialing requirements, • Proven background in on-demand final-mile delivery operations at scale — managing multi-vehicle-class fleets in a high-accountability environment, • Hands-on experience with temperature-sensitive freight handling, including dry ice protocols and cold-chain compliance, • Track record of building and growing a driver workforce — recruitment, onboarding, training, and retention, • Direct client relationship management experience at the operational level — not just internal-facing, • Strong professional network within the time-critical freight and airport logistics ecosystem Skills & Attributes • Tech-savvy with hands-on experience using TMS, dispatch, or route optimization platforms; genuine interest in AI-driven operational tools, • Exceptional communicator — equally effective with drivers on the floor, clients in aboard room, and leadership in a strategy session, • Highly organized with the ability to manage multiple high-priority situations simultaneously without losing attention to detail, • Entrepreneurial mindset — able to build systems, processes, and culture from the ground up in a scaling startup environment, • Flexible availability — understands that time-critical logistics does not follow a fixed schedule, • Valid driver's license with a clean driving record, • Ability to obtain and maintain airport security badge and all required clearances for SFO operations, • Willingness to travel for industry conferences, client meetings, and company-wide leadership events as required Preferred Qualifications • Bachelor's degree in Logistics, Supply Chain Management, Business Administration, or a related field — or equivalent professional experience, • Experience managing Reefer and temperature-controlled vehicle fleets in a regulated logistics environment, • Familiarity with IATA cargo regulations and air freight documentation standards, • Prior P ownership at a branch, station, or terminal level, • Bilingual a plus — Spanish strongly preferred given regional driver workforce demographics Compensation & Benefits • 15 paid time off (PTO) days per year, • Direct access to and mentorship from the CEO and Director of Operations, • Real decision-making authority — you run SFO, not a checklist, • A genuine family culture built on accountability, trust, and mutual respect, • Ground-floor opportunity to shape the growth trajectory of a fast-scaling logistics company Benefits: • 401(k) matching, • Paid time off, • Professional development assistance, • Retirement plan Ability to Commute: • San Francisco Bay Area, CA (Required) Work Location: In person Please fill up this form: https://neonlinelogistics.com/neonline-application-branch-manager/ \nCompany Description Neonline Logistics provides time-critical delivery and logistics services for businesses that need their shipments moved safely and on time. We are hiring an experienced Reefer Box Truck Driver for our Los Angeles (LAX) operations. This position involves driving a 26 ft. refrigerated box truck and handling assigned deliveries. Overtime is expected on most working days, providing an opportunity for additional weekly earnings. Neonline Logistics provides time-critical delivery and logistics services for businesses that need their shipments moved safely and on time.\n\nWe are hiring an experienced Reefer Box Truck Driver for our Los Angeles (LAX) operations. This position involves driving a 26 ft. refrigerated box truck and handling assigned deliveries. Overtime is expected on most working days, providing an opportunity for additional weekly earnings.

Job DescriptionAbout Instead Instead is where tax work gets done. Our AI agent orchestrates the entirety of how work gets done in tax, from preparation and compliance to filing and advisory. It's a fundamentally new way of doing tax work, and it's why top 500 firms, Big Four teams, and enterprise corporate tax departments are choosing Instead. What makes us unique: we hold full government approvals with the IRS, 48 states, and all cities to e-file 1040, 1041, 1120, 1120S, and 1065, with 706, 709, 990, 5500, 2290, and PPT coming for tax year 2026. Instead is a full replacement for CCH Axcess, GoSystem, UltraTax, OneSource, CorpTax, Lacerte, ProConnect, Drake, and more. No other tax startup will be able to offer these capabilities for years as we are two to three years ahead of everyone else in government approvals. This lets us build product experiences that are simply unmatched in the market. Instead is backed by Conviction, IRIS (the largest tax software provider in the UK), Skylark, Aprio, and many of our partners and customers. Our team includes leaders from Intuit, Gusto, Zenefits, Thomson Reuters, Wolters Kluwer, PwC, BDO, RSM, and KPMG. The Role You'll build the AI-powered tax platform that hundreds of accounting firms use every day. You'll work across the full stack, shipping features on our customer-facing product and building internal tooling that powers our engineering team. This is production AI work, not research. You'll be writing code that handles real tax returns, real deadlines, and real customer data. Our stack: Vue, Nuxt, TypeScript, and Tailwind CSS on the frontend. Go, Docker on AWS ECS/Fargate, and PostgreSQL on AWS RDS on the backend. For AI, we use Cursor, Claude Code, Helicone, Gemini, and OpenAI, and we're constantly evaluating new tools. What You'll Do • Ship full-stack product features end to end for our live customer platform, • Build and integrate AI-powered components including production-level inference and prompt engineering, • Make key product improvements based on customer feedback and usage analytics, • Solve critical product bugs across the full stack with high urgency during tax season, • Create tools and internal platforms that enhance the productivity of Instead's engineering and product teams, • Partner with US-based product teams to translate customer needs into technical solutions, • Contribute to architecture decisions as the team scalesWhat You Bring, • 3+ years of software development experience, • Proficiency in full-stack development with a strong understanding of web frameworks, backend systems, and cloud infrastructure, • Experience building and shipping production software that real customers depend on, • High attention to detail. Tax work has consequences, and our code needs to be right, • Fast learner who thrives in a fast-paced environment where priorities shift quickly, • Experience with AI/ML frameworks, prompt engineering, or AI coding tools (Cursor, Claude Code, GitHub Copilot) is a strong plus, • Experience with our stack (Vue/Nuxt, Go, AWS, PostgreSQL) is a plus but not requiredWhat Makes Someone Exceptional, • You ship fast without sacrificing quality. You know when to cut corners and when the details matter, • You've built customer-facing products at scale and understand what it means when real users depend on your code, • You actively use AI tools in your development workflow. You see AI as a force multiplier, not a novelty, • You can work across the full stack and context-switch between frontend polish and backend infrastructure, • You care about the product, not just the code. You understand why a feature matters to customers, not just how to build itLocation San Francisco (on-site) Instead is an equal opportunity employer. We evaluate candidates based on capability, judgment, ownership, and fit for the role's responsibilities. We welcome candidates who can help us build a category-defining company in tax technology.

Job DescriptionFounding Engineer - Applied AI Company: Antes Location: San Francisco, CA (in person highly preferred; exceptional remote candidates considered) Compensation: $180,000 - $250,000 + equity Employment Type: Full-time About Antes Antes is a stealth startup building AI for complex hardware manufacturers, at the intersection of AI, hardware development and policy. It partners with iconic automotive, aerospace and industrial manufacturers and is backed by General Catalyst, Kleiner Perkins and the parent company of Ferrari. The founding team spans AI, advanced engineering and policy, including a former America's Cup world champion, Stanford AI Lab researchers, a former president of Hyundai, a CTO of Caterpillar, and a former Chairman of the FAA and FCC. The Role Antes is hiring an Applied AI Engineer to build the core systems behind its automation engine for hardware engineering. You will design, implement and post-train AI agents that power critical product development workflows for global enterprise customers, retrieving, interpreting and manipulating complex engineering design data inside real engineering environments. As one of the first technical hires, you will own mission-critical systems end to end. What You Will Do • Design core workflows and infrastructure for hardware engineering agents: context management, novel indexing and post-training., • Build agents and ML models that reason over and manipulate complex engineering design data, integrated with enterprise engineering tools., • Work with customers and the team to deliver reliable, trusted AI workflows in production., • Prototype rapidly, validate with real users and ship frequently., • Shape engineering culture, architecture and the product's future.What You Bring, • Bachelor's or higher in Computer Science, Machine Learning or equivalent experience, • Strong familiarity with LLM architectures and agent research, • Excellent programming skills with ML libraries such as PyTorch, Hugging Face and Weights & Biases, • Experience building production ML or AI systems

Job Description Whizz is transforming delivery services by being a reliable and affordable provider of electric bicycle solutions. Our vision is to provide the most affordable transportation in history. Our principles include caring for our customers and addressing any issues. With simplified sign-up and usage processes and affordable prices, we create an environment where riders earn more, stay safe, and strengthen their community connections. Whizz is already the #1 e-bike subscription provider for riders in the U.S Key Responsibilities: • Sales: Identify potential clients, present and sell our e-bike solutions, and consistently meet weekly and monthly goals., • Onboarding & Training: Deliver in-field training, mentor team members, and support continuous growth., • Management & Coaching: Oversee daily operations, create schedules, and optimize sales processes., • Reporting: Track sales performance, analyze data, and provide regular reports to management. Requirements • Proven experience in active sales (field sales, cold calling, B2B or B2C)., • Understanding of immigrant communities (personal experience or strong connections)., • Results-oriented, proactive, and open to learning from mistakes., • Comfortable working in a startup environment, adaptable and flexible., • Strong communication and leadership skills to build and motivate a high-performing team., • Experience running your own business is an asset., • Familiarity with the delivery industry and the e-bike market is a plus Benefits • Competitive Pay: Base salary plus performance-based bonuses., • Bonuses & Incentives: Rewards for both individual and team achievements., • Comprehensive Training: Continuous support and professional development., • Flexible Schedule: Approximately 20 hours per week with flexibility to manage tasks., • Startup Culture: An opportunity to make an impact, implement ideas, and grow with the company., • Supportive Environment: Work with a motivated and collaborative team.

Job DescriptionAbout Ode with Anthropic How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages? Anthropic is defining frontier AI. Ode is the team bringing frontier AI into practice. We are a team of experienced builders who care deeply about getting complex AI systems into production, with strong conviction about what makes them succeed. As Anthropic’s services venture, we tackle the hardest, most consequential AI problems for companies with real stakes, working closely with their Applied AI and Product teams to turn frontier technology into real world impact. We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai. About Bringing Your Own Engineering Team Some teams are just too good to break up. Maybe you co-founded a venture that's pivoting, maybe your team got caught in a reduction in force, or maybe you're looking for the next thing to build together. We already work in small pods: tight-knit teams of engineers working on a single project together. Joining Ode is a natural way to keep your team intact and shift your focus to building for clients with instant product-market fit. If you're part of an existing team of 2–5 engineers, we encourage you to apply to join Ode with Anthropic together. How It Works One interview process. We'll arrange your interviews on the same day, with the same panel, against the same bar we hold every Ode engineer to. One offer. If we decide to move forward, we'll make offers to your whole team at the same time. You're each free to accept or decline individually — though we hope you'll all say yes. One first project. We'll work to staff you on an engagement together. BYOT In Practice: Fabius In 2026, we were introduced to the Fabius team — a Y Combinator (W23) startup that had spent three years building AI to automate sales workflows. They had a track record of building complex AI systems, and they'd spent considerable time perfecting the craft of partnering closely with customers to make sure their solutions delivered results. The more we talked, the more we saw a team whose strengths mapped almost exactly to what we hire for. For Fabius, joining Ode was a natural way to focus on what they were best at — building AI-powered products — while staying together as a team. "I was surprised how much autonomy Ode expected us to keep. Suddenly we had very interested, very motivated clients — and the same hard technical problems we used to grind through at Fabius. " — Neil Madsen, Fabius Co-founder "When we spoke with Eddie and Chris, it felt like a bunch of founders hanging out. There was a certain expectation that the team itself was an asset, and Ode was specifically interested in protecting the way we were working together, rather than figuring out how to make everyone play a narrow role." - Andy Day, Fabius Co-founder Our Engineering Philosophy We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. How Ode Is Different A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think. Our Values Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. Overuse AI: We obsessively explore and experiment with Claude to push the frontier of applied AI and share what we learn with our teammates. Over”engineer” the Culture: We’re building a culture that attracts and retains top applied AI talent, and we stress test large decisions through the perspective of our world class builders. Location San Francisco, CA New York, NY Work arrangement: 4 days in-person, Fridays remote. Benefits Competitive Compensation Package: Attractive salary aligned with your experience and skills. 401k with Matching: Invest in your future with our company-matched retirement plan. Unlimited PTO: Take the time you need to relax and rejuvenate. Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. Health FSA: Manage out-of-pocket health expenses effectively. Commuter Benefits: Make your travel to work easier and more affordable. Life Insurance: Providing peace of mind for you and your loved ones. Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

Job DescriptionDirector of Engineering – AI Agents Location: San Francisco, CA (on - site) Employment Type: Full-time Work Arrangement: On-site, five days per week Base Salary: $300,000–$450,000 annually + equity About the Company Our client is a venture-backed AI startup building intelligent automation for the insurance industry. Its technology helps insurance organizations streamline complex, document-heavy workflows, improve operational efficiency, and make better decisions. About the Role We are seeking a Director of Engineering – AI Agents to lead and scale the company's AI engineering organization. You will own the technical direction of production LLM-powered agents that automate business-critical insurance workflows. Working closely with technical founders, you will influence product strategy, build engineering teams, and remain actively involved in architecture and code. This role combines organizational leadership with hands-on responsibility for delivering reliable AI systems in production. Key Responsibilities • Build and scale the AI engineering organization across three areas: AI infrastructure, agent intelligence, and customer-facing agentic products., • Define the technical strategy for model routing, multi-agent orchestration, reliability, and production performance., • Lead development of evaluation frameworks, shared tools, and multimodal pipelines that improve agent capabilities., • Oversee delivery of AI assistants and long-running workflows used by customers in business-critical operations., • Recruit, mentor, and retain AI engineers, including engineering leaders as the organization grows., • Stay closely involved in code, architecture, and technical decisions, setting high engineering standards through hands-on leadership., • Partner with the founders to shape product direction and translate customer needs into scalable technical solutions., • Evaluate advances in AI agents and apply them to practical insurance use cases.Qualifications, • 7+ years of experience in AI/ML engineering, including experience managing engineering teams at a venture-backed startup., • Experience building and operating production LLM applications or AI agents., • Strong technical judgment across system architecture, model routing, multi-agent orchestration, and reliability., • Experience with evaluation frameworks, shared agent tooling, and multimodal workflows., • Strong Python engineering skills and the ability to contribute directly to code and architecture., • Demonstrated ability to recruit, develop, and lead engineering talent., • Ability to connect technical strategy with customer needs and product priorities., • Willingness to work on-site in San Francisco five days per week.Technology Environment LLMs, agentic AI, Python, multi-agent orchestration, model routing, evaluation frameworks, and multimodal pipelines.

Job DescriptionThe role As an Engineer at Superpower, you will play a critical role in architecting and delivering the foundational technology for Superpower’s digital health platform. This is a unique opportunity for a product-minded, entrepreneurial engineer to work at the intersection of software, healthcare innovation, and human performance. You will collaborate directly with the founding team to build scalable systems and beautiful user experiences that empower users to manage their health more effectively. Key Responsibilities Design and implement end-to-end software solutions, from front-end components to backend infrastructure. Collaborate with product, design, and clinical teams to shape a seamless, user-centric health platform. Build and maintain scalable microservices architecture and modern web applications. Own technical decisions and contribute to company-wide product strategy and planning. Establish and enforce best practices in testing, security, and performance optimization. Contribute to the continuous improvement of engineering workflows and infrastructure. Qualifications 5+ years of experience as a software engineer, with a focus on full stack web development. Deep experience with modern frameworks such as React, Node.js, Typescript, and related tooling. Strong knowledge of system design, APIs, CI/CD pipelines, and cloud services (especially AWS/Fargate). Demonstrated ability to thrive in a fast-paced startup environment. Passion for healthcare, wellness, or longevity tech is a strong plus. Prior experience at an early-stage startup or as a founding engineer is highly desirable. Tech Stack Languages & Frameworks: React, ExpressJS (Node.js), Golang (plus) Dev Tools: Yarn workspaces, Storybook, ESLint, Jest, Webpack Infrastructure: AWS, Docker, Infrastructure as Code, GitHub Actions (CI/CD), Kubernetes Data: FHIR-based schema (Fast Healthcare Interoperability Resources) Design & Ops: Tailwind CSS, Figma, Linear, Notion, Slack Work Location & Environment This is a hybrid role based in San Francisco. Team members work primarily from our SOMA office, collaborating closely across disciplines in a fast-moving, highly creative, and mission-driven environment. Why we are building this We believe that the best people and companies of the future will be built different, putting health at the forefront of everything that they do. Because creating world-changing products, services, and movements requires us to reach our peak potential. Superpower is the product we’ve always wanted: a thoughtfully designed, all-in-one solution for easily managing our personal health. It’s not healthcare – it’s Superpower. About Superpower Superpower is a new health system on a mission to extend and enhance human life. We started with lab testing, then data aggregation / digital twin, then an AI doctor, and now peptides. Over the past 6 months, we have grown 10x whilst halving CAC. Now we are gearing up for hyper growth. You can find more about us below: superpower.com/series-a Superpower Overview Culture at Superpower Company Philosophies We are all here to genuinely do our life’s best work Insanely high talent bar, never settling. A players only (see Steve Jobs) We live to work as much as we work to live. But we sustainably espouse the superpower ethos of putting health first We aim to set the gold standard for team health culture on the planet — live the ethos! Investors Forerunner (Top consumer healthcare VC in the world; early board members of Hims and Oura; Kirsten, founder of Forerunner, led our Series A) 8VC (leading health and bio investor) Evan Moore (Founder of Doordash; Partner at Khosla Ventures) Cyan Bannister (early investor into Uber and SpaceX, former partner at Founder’s Fund, regarded as one of the top angels in the world) Balaji Srinivasan (ex-Coinbase CTO and angel, ex-General Partner at a16z) Arielle Zuckerberg (active angel, tech leader, relatively famous brother) Cameron & Tyler Winklevoss Susa Ventures (tier 1 healthcare VC) Bond Capital (General Partner Jay Simons' early-stage fund within Bond) Long Journey Ventures (investor in Uber, Notion, Loom, Affirm etc.) Influencers Shaan Puri (angel and podcast host of my first million) Brooke Monke (50 million followers across socials) Logan Paul Steve Aoki Justin Mares (founder of Truemed) Giannis Antetokounmpo Kylian Mbappé We’re proud to be a global team and welcome talent from around the world. We offer visa sponsorship and can support relocation to the United States for the right candidates. Much of our team is international, and we’re committed to building a team of top-tier talent.

Job Description About Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products. This is not a pure research role. At Collate, research is directly tied to deployment. You’ll work side by side with engineers, product, and Life science experts to ensure that breakthroughs in the lab become real solutions in the world. What You’ll Do • What You’ll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning., • Prototype and validate AI capabilities that expand Collate’s product roadmap., • Collaborate with engineering, product, and design to bring research into production., • Develop evaluation frameworks to measure safety, reliability, and fairness., • Share findings with the broader AI community through publications and open collaboration., • Help shape the long-term research agenda at Collate.What We’re Looking For, • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience., • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science., • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation., • Experience in translation is an added bonus, • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow)., • Ability to bridge theory and practice — from new research ideas to real-world deployments., • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities., • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply., • Excitement to work in an early-stage environment where you help define not just the research, but the product and company direction. Why Join Collate? Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes. Ownership: Shape both our product experience and our engineering culture from the start. Learning: Collaborate with a uniquely interdisciplinary team—AI researchers, healthcare leaders, and experienced startup builders. Upside: Join a company early enough to have meaningful equity and career-defining impact. The base salary range for this role is depending on experience and level (Tier 1, San Francisco) Research Scientist: $188-215K; Senior Research Scientist: $188-275K; Staff Research Scientist: $228-310K; Principal Research Scientist: $275-350K We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionA note before you apply We're hiring Software Engineering Interns! This is a full-time (40+ hours a week) salaried 12 month internship where you'll work closely with our Engineering, Product, and Design teams to build real features, solve real problems, and contribute to products that make a difference. This listing represents multiple openings and for standout interns our goal is to convert this into a full-time engineering role at the end of the program. About Clerkie Clerkie is a fintech startup on a mission to democratize financial wellness using the power of artificial intelligence. Launched in 2018, Clerkie began with an app, aiming to help the nearly 123 million underserved Americans in need of financial guidance. Since its inception, the company has expanded its services and now pairs consumer guidance with cutting-edge B2B software. By pairing the two through the Clerkie network, these tools have become the go-to resource for creditors looking to manage loan losses while simultaneously helping millions of borrowers get out of debt. Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United States. To date, the company has raised $41 million, including a $33 million Series A round in early 2023. Investors include leading financial and venture institutions, including Citi Ventures, Left Lane Capital, Wellington Ventures, Flourish Ventures, and Vestigo Ventures. About the internship As the newest addition to Team Clerkie, this Software Engineer Intern will work across our Engineering function to contribute to Clerkie Fiber, our B2B CRM, designed to transform the debt industry. This full-time 12 month paid internship is designed for soon-to-be or recent graduates who are excited to kickstart their career in software engineering. You'll work across the full stack, collaborating with engineers on frontend, backend, and infrastructure projects. Whether you're optimizing APIs, refining user interfaces, or contributing to our architecture, your work will have a direct impact. This isn't just another internship - it's an investment in your growth. The ideal Clerkie team member is curious, collaborative, and eager to grow in a fast-paced environment. Clerkie's culture values a customer-first mindset and a bias for action - we're looking for someone who's excited to dive in and learn. While this opportunity is remote-first, Clerkie offers the option to visit or work from our SF HQ at any time. Here's what you will do • Develop and maintain Clerkie Fiber, our flagship B2B CRM, collaborating closely with backend, frontend, product, and design teams, • Work across the full tech stack, from frontend interfaces (Next.js, Tailwind CSS) to backend services (Node.js, AWS, MongoDB), • Build robust and scalable APIs to support our platform's growing user base, • Optimize performance and ensure a seamless, user-friendly experience, • Write clean, well-structured, and maintainable code with a strong emphasis on scalability and security, • Contribute to system architecture decisions, helping shape the future of Clerkie's technologyMinimum qualifications, • A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science, Software Engineering, or a related field, • Proficiency in JavaScript/TypeScript and experience with React.js, Next.js, or Node.js, • Comfortable working with databases (SQL or NoSQL, e.g., PostgreSQL, MongoDB), • Ability to manage project priorities, meet deadlines, and deliver results independently, • Excitement for being part of a small, fast-moving team where every day brings new challenges and opportunities to learn and growPreferred qualifications (ranked by priority and not required):, • Personal or school projects involving full-stack development, • Exposure to AWS, Docker, or CI/CD pipelines, • Experience with testing frameworks (Jest, Mocha), • Interest in fintech or financial literacyOther adds, • Passion for our mission, • Experience building and scaling products, • Proactive team player who can work with others towards a common goal, • Extreme focus on the user with a healthy obsession for solving their needs, • Committed to being a part of something bigger than yourselfOur salary range, • ???? Salary range: $80 - 100k, • ???? Remote-first role (US only), • ???? Medical, dental, and vision insurance, • ???? 401(k) + retirement benefits, • ???? Paid time off + annual company retreat, • ???? Company laptop + home office stipend, • ???? Collaborative, values-driven cultureOur Process Our hiring process is intentionally designed for you to interview Clerkie as much as our team is interviewing you. We've built a 5-step process that allows for a two-way assessment across skills, behaviors, values, technical ability, ways of working, and adaptability in a lean startup environment. • Application & Coderbyte (async candidate time), • Intro Screen w/ People team (20-30 minutes via Google meet), • Take-Home Challenge & Live Review w/ Sr. Engineer (challenge is async candidate time, live review is 45 mins via Google meet), • Live Coding Challenge w/ another Sr. Engineer (90 minutes via Google meet), • Final Management Meeting w/ SLT (45 minutes via Google meet) Before we extend any offers, all candidates must successfully complete a standard background check in addition to a reference check. These checks are conducted in tandem to ensure a safe, secure, and compliant environment for all Clerkie team members and stakeholders. AI & Interview Assessments At Clerkie, we embrace AI and use it throughout our day-to-day work. We value people who thoughtfully leverage modern tools to learn, build, and solve problems more effectively. Our interview process is designed to evaluate each candidate's own technical thinking, communication, and problem-solving approach. To help ensure every candidate is assessed fairly, consistently, and under the same conditions, we ask candidates not to use external problem-solving resources during live interviews or technical assessments unless we explicitly state otherwise. This includes AI assistants, interview assistants, search engines, and other third-party resources. You're welcome to reference any documentation or materials that we provide as part of the interview. This expectation does not apply to approved interview accommodations or assistive technologies. If you require a reasonable accommodation at any stage of our hiring process, please let us know. We're committed to providing an accessible and equitable interview experience for all candidates. If this interview expectation is not followed, we may conclude the assessment and discontinue the interview process.

Job DescriptionWhy Flux Flux is taking the hard out of hardware. To do this, we’re building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. About the Role Flux is building the world’s first AI Hardware Engineer, software that can design real, manufacturable electronics from a prompt. As a Software Engineer, Agentic Development, your mission is to build the brains of the system, agentic workflows, reasoning graphs, and integrations that help novice users move from idea to manufacturable hardware and seasoned electrical engineers learn from the hard earned battle scars from failed production runs of the past. This role combines deep web engineering with AI systems design. You’ll work with Typescript and LangGraph across the Flux web app and backend platform, embedding intelligence directly into the design environment. What You’ll Do Develop agentic reasoning capabilities in TypeScript (LangGraph). Integrate AI behaviors into the Flux web app (React/Redux) and Chat UI. Instrument telemetry and logging for runtime health, performance, and cost tracking. Collaborate with product and electrical engineers to shape intelligent ECAD workflows. Build and analyze evals; translate data into engineering decisions. Actively shape agentic patterns, conventions, and best practices for the broader engineering org. What You’ll Bring 5+ years of software-engineering experience; 1+ year developing generative-AI or agentic systems. Strong command of TypeScript, React, and Node.js. Experience with LangChain, LangGraph, or equivalent orchestration frameworks. Demonstrated success building asynchronous, distributed systems in production. Experience integrating LLM-based systems into complex user-facing web products. Excellent communicator comfortable in a fully remote, async team. Experience at a startup or in 0→1 product environments. Preferred Qualifications Experience with retrieval systems, evaluation pipelines, or agent benchmarking. Contributions to open-source AI/developer tools projects. Familiarity with hardware design or ECAD concepts. Background in applied ML, data-driven experimentation, or NLP. Experience with distributed highly available systems that operate at significant scale. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Agentic development is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company. We constantly experiment with new workflows, tools, and ways of working together. You feel an urgency to reimagine how we create and collaborate in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work. Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $183K - $250K

Job DescriptionFounding Senior HR Generalist / People Operations Lead Company: HireNow Staffing (Direct Placement Partner) HireNow Snapshot HireNow Staffing is actively recruiting a seasoned Founding Senior HR Generalist / People Operations Lead to join one of our valued client partners. This full-time opportunity is designed for an experienced HR professional who thrives in high-growth startup environments and enjoys building scalable people operations from the ground up. The successful candidate will become the organization's first dedicated HR leader, own day-to-day People Operations while establishing processes that support long-term organizational growth. This role requires an execution-focused professional who is equally comfortable managing compliance, employee relations, HR systems, payroll coordination, and benefits administration while serving as a trusted advisor across the business. As the organization continues to scale, this individual will help shape employee experience, manager enablement, performance management, and operational excellence across the company. Key Responsibilities • Own the complete employee lifecycle including onboarding, role changes, promotions, transfers, offboarding, and separation processes., • Maintain accurate employment records, offer documentation, employment agreements, policy acknowledgments, and HR compliance documentation., • Serve as the primary owner of the organization's HRIS, ensuring employee data remains accurate, compliant, and audit ready., • Partner with external employment counsel, benefits providers, payroll partners, and HR vendors to support daily operations., • Apply California employment law to support compliant employee practices and workplace decisions., • Coordinate employee transitions, performance-related actions, terminations, and severance processes with professionalism and sound judgment., • Lead benefits administration including healthcare, retirement plans, vendor management, and employee communications., • Partner closely with Finance to ensure payroll accuracy, compliance, reporting, and operational efficiency., • Design, document, and continuously improve HR workflows that support company growth., • Expand People Operations initiatives including manager enablement, employee engagement, performance management, culture development, and organizational effectiveness.Required Qualifications, • 4–6 years of Human Resources or People Operations experience., • Previous experience serving as the first or second HR hire within a Series A or Series B venture-backed startup., • Experience supporting organizations that have raised $10M or more in venture funding., • Strong working knowledge of California employment law., • Experience independently managing employee lifecycle programs., • Strong HRIS experience; Rippling experience is highly desirable., • Working knowledge of payroll administration and payroll compliance., • Experience administering employee benefits and vendor relationships., • Demonstrated experience managing employee transitions, corrective actions, terminations, and separation processes., • Strong organizational, communication, and problem-solving skills., • Comfortable operating independently with minimal supervision., • Must currently reside within the San Francisco Bay Area and be available to work onsite five days per week in Dogpatch, San Francisco., • Authorized to work in the United States., • No visa sponsorship available.Preferred Qualifications, • Direct experience administering Rippling as the primary HRIS., • Experience supporting rapidly growing sales organizations with commission structures, OTE plans, and compensation administration., • Multi-state and international employment experience., • Experience implementing or improving performance management programs., • Background supporting employee engagement, manager development, and organizational culture initiatives., • Experience building scalable HR processes from the ground up., • Stable career progression demonstrating increasing HR ownership and leadership.HireNow Package, • Compensation: $160,000–$185,000 annual base salary, • Equity: Competitive equity package., • Benefits: Comprehensive medical, dental, and vision coverage; 401(k); commuter benefits; daily catered lunch, dinner stipend, $150 monthly wellness benefit, and additional company-sponsored benefits., • Employment Type: Full-Time, • Work Location: Onsite – Dogpatch, San Francisco, California (5 days per week), • Applicant Requirements: U.S.-based applicants only. Candidates must currently reside within the San Francisco Bay Area. No visa sponsorship available., • Headcount: 1HireNow Checklist HireNow Staffing is recruiting a Founding Senior HR Generalist / People Operations Lead who demonstrates the following:, • Possesses 4–6 years of progressive Human Resources or People Operations experience., • Has successfully served as the first or second HR professional within a venture-backed startup., • Demonstrates strong expertise in California employment law and HR compliance., • Has experience managing HRIS systems, payroll coordination, benefits administration, and employee lifecycle programs., • Excels at creating structure, documenting processes, and building scalable HR operations., • Communicates effectively with employees, executives, Finance, legal counsel, and external vendors., • Thrives in fast-paced startup environments while operating independently., • Resides within the San Francisco Bay Area and meets all required qualifications while demonstrating several preferred qualifications.HireNow Standout Candidates Candidates will receive the strongest consideration if they demonstrate:, • Experience building a People Operations function from the ground up within a Series A or Series B startup., • Advanced experience administering Rippling HRIS., • Strong understanding of California employment law and HR compliance best practices., • Experience supporting technical, engineering, and high-growth sales organizations., • Success implementing scalable HR workflows, performance management systems, and employee engagement initiatives., • Strong partnership with executive leadership while maintaining operational excellence., • Stable employment history demonstrating increasing ownership and leadership within Human Resources.HireNow Disqualifiers The following will prevent candidates from moving forward in the hiring process:, • Jumpy resumes will not be accepted or interviewed., • Less than four years of Human Resources or People Operations experience., • No experience supporting venture-backed startup environments., • No experience serving as the primary or secondary HR owner., • Limited knowledge of California employment law., • No experience managing employee lifecycle programs, HR compliance, or payroll coordination., • Applicants requiring visa sponsorship., • Applicants who do not currently reside within the San Francisco Bay Area or cannot work onsite five days per week., • Candidates who do not meet the core qualifications required for this position.HireNow Staffing Disclaimer HireNow Staffing is acting as a direct placement partner for this Founding Senior HR Generalist / People Operations Lead opportunity. All candidate information is handled confidentially and evaluated against defined requirements. This job description outlines the general scope of responsibilities and qualifications. Duties may evolve based on client needs and business growth. Only candidates meeting the core qualifications will be considered for interview. Client-specific information will be shared only with qualified candidates during the interview process. https://www.careers-page.com/hirenow-staffing-inc/job/5W94339R

Job Description JOB DESCRIPTION HIRING: Forward Deployed Engineer | Agentic AI | San Francisco Are you an engineer who can build the solution, own the customer relationship, and make AI actually work in production? We’re hiring 3 Forward Deployed Engineers for a high-ownership, customer-facing engineering role in San Francisco’s Mission District. This is not a traditional SWE role. You’ll be the person customers rely on to diagnose problems, build solutions, deploy AI automation, manage agent performance, and help grow the account. Location: San Francisco, CA — Mission Work Style: In-person, 5 days/week Salary: $160K–$200K Equity: Competitive Visa: OPT / H1B transfers supported; no new H1B sponsorship Hiring: 3 candidates Employment: Full-time Interview: 3 steps ✈️ Travel: Not required, but possible Tech: AI tools, JavaScript, web automation, agentic workflows WHAT MAKES THIS FDE ROLE DIFFERENT? You’ll own your accounts end-to-end. There is no dedicated success manager, account lead, or handoff layer between you and the customer. You are the: → Engineer → Customer partner → Problem solver → AI/automation expert → Account owner You’ll build the relationship, understand the business problem, ship the solution, maintain it, and identify opportunities to expand the customer’s use of AI. WHAT YOU’LL WORK ON ✅ Tailor autonomous AI agents to complex customer workflows ✅ Configure, prompt, and orchestrate AI agents across enterprise software ✅ Work with legacy and complex enterprise systems ✅ Manage and tune AI agents to ensure reliable production performance ✅ Build automations using internal libraries, tools, and products ✅ Prototype new automation techniques and intelligent workflows ✅ Optimize pipelines for intelligent document extraction ✅ Bridge customer, product, and engineering teams ✅ Help identify opportunities to expand AI-powered solutions REQUIRED FDE / CUSTOMER-ENGINEERING BACKGROUND We’re looking for 4–8 years of experience in one or more of: ✔️ Forward Deployed Engineering ✔️ Customer-facing Software Engineering ✔️ Technical Solutions Engineering Plus: ✔️ 3+ years managing, tuning, or configuring AI agents for customers OR meaningful customer-facing technical/project ownership ✔️ Strong hands-on JavaScript skills ✔️ Extensive experience using modern AI coding tools such as Cursor, Windsurf, or Claude Code ✔️ Web automation experience with Selenium, Playwright, or similar tools THE MOST IMPORTANT SOFT SKILLS Technical ability is only half of the job. We’re looking for someone who: Genuinely enjoys talking with customers Can simplify complex technical ideas for non-technical stakeholders Has exceptional communication and interpersonal skills Thinks beyond quick fixes and patches Can influence the long-term product roadmap Brings urgency, ownership, creativity, and follow-through Enjoys solving messy, ambiguous technical problems ⭐ NICE TO HAVE Experience scaling a company through Seed / Series A Agentic AI or agentic workflow experience Experience at an AI-native startup Top CS background such as Stanford, MIT, or Waterloo — preferred, not required THIS ROLE IS NOT FOR YOU IF... ❌ You prefer purely internal engineering with limited customer interaction ❌ You lack strong customer-facing communication skills ❌ Your experience is primarily basic configuration without hands-on engineering ❌ You prefer fixing isolated technical issues rather than owning the broader customer outcome WHO SHOULD APPLY? If you can talk to the customer, understand the problem, write the code, configure the AI agent, deploy the solution, and stay accountable for the outcome — we’d love to hear from you. This is an opportunity to sit directly at the intersection of AI + Engineering + Customers + Product.

Job DescriptionSenior/Staff Applied AI Engineer, Agent Harness Company: Init Intelligence Location: San Francisco, CA - in person, Monday to Friday Compensation: $200,000 - $300,000 base + 1-2% equity Employment Type: Full-time Visa Sponsorship: Available (H-1B, O-1, OPT) About Init Init is building AI coworkers for IT teams. Its security-focused product is an agent that registers as a governed identity in a customer's directory, requests scoped access for each task, escalates to a human for approval, runs in a fresh microVM with credentials the model never sees, and can operate systems it was never given an API for. Init was founded in 2026 by Isaiah De La Fuente and Sazzad Islam. The team comes from Stanford, MIT and Delve, among others. The Role This role builds the layer that turns model capability into systems that actually work for users. You will develop the core agent harness, including the execution loop, tool-use strategies, context construction and model-facing experimentation, and improve agent behavior across real customer workflows and long-horizon tasks. A defining principle at Init: the creative step happens once, when a workflow is authored, and what runs afterward is deterministic, compiled, type-checked code rather than open-ended tool-chaining. You will own the boundary between what the model decides at runtime and what ships as code. You will build and run evals against replicas of real customer environments, reliable enough to gate a release. You will analyze production failures and trace them to the right layer (model, prompt, tool contract, environment state or retry logic). And you will extend the computer-use agent to systems with no API, owning the guarantees that let it run in production: a fresh microVM per task, credentials injected at session start and never seen by the model, every action recorded, and any session stoppable mid-run. What You Will Own • The core agent harness: execution loop, tool-use strategies, context construction and model-facing experimentation, • Agent behavior across real customer workflows and long-horizon tasks, • The boundary between runtime model decisions and deterministic, compiled, type-checked execution, • Evals against replicas of real customer environments, reliable enough to gate releases, • Production failure analysis and systematic robustness improvements, traced to the right layer, • Extending computer use to systems with no API, with production guarantees (per-task microVM, model-blind credentials, full action recording, stoppable sessions), • Feedback loops and data systems that bring better real-task data into evaluation and trainingWhat You Bring, • 4+ years of experience, • Experience with agent frameworks or tool-using LLM systems, • Strong Python or TypeScript and comfort with modern AI tooling, • Experience with model evaluation, fine-tuning or prompt design, • The ability to own systems end to end and debug across the stack, • A focus on systems and user outcomes, not just model metrics, • You enjoy debugging messy, real-world failures and turning them into improvements, • Ability to work in person in San Francisco, Monday to Friday, at startup intensityNice to Have, • Built computer-use or browser-automation agents, • Experience with virtualization and sandboxed execution environments, and scaling them, • AI research published at top conferences, • Shipped systems where correctness had to survive partial failure (idempotency, resumability, compensating actions), • Integrated enterprise SaaS APIs (identity providers, directory services, ticketing, ERPs), • Experience with large, messy datasets or production logs, • Been an early engineer somewhere you also talked to customersBenefits Meals in office, health insurance, unlimited PTO. Interview Process Culture screen, second culture screen, technical interview, then a one-day on-site.

Job Description Top-of-market comp. $180K$300K base plus meaningful founding-team equity at a 30-person company that's just getting started. VERY FAST INTERVIEW PROCESS and WILLINGNESS TO MOVE QUICK Open to SWE, FDE, Product Eng, Implementations Eng with VC-backed pedigree who has experience scaling enterprise deployments Extreme ownership from day one. You work directly with enterprise customers and ship end-to-end AI automations that show up immediately in their workflows no bureaucracy, no hand-holding. Why candidates should join • Rocket-ship traction.Client hit multiple seven figures in ARR in just over a year and already serves 30% of the top 50 insurance brokers in the country., • Fresh $25M Series A.Backed by CRV, South Park Commons and Foundation Capital strong institutional names with deep enterprise software conviction., • Extreme ownership from day one.You work directly with enterprise customers and ship end-to-end AI automations that show up immediately in their workflows no bureaucracy, no hand-holding., • Top-of-market comp.$180K$300K base plus meaningful founding-team equity at a 30-person company that's just getting started., • Staff-level team pedigree.You're joining ex-Affirm, Uber, DoorDash and McKinsey operators in-person in San Francisco the kind of team that moves fast and builds things that matter. Dealbreaker Work experience Customer-facing engineering experience on post-sales sidescoping problems, building solutions, and shipping within the same week VC-backed startup pedigree experience at a company that raised Series A+ from a top-tier VC Hard skills Proficient in Python and/or TypeScript Baseline Seniority 3 - 6 years of experience in software engineering, forward deployed, solutions, implementation or product engineering role is ~70% coding (mix of customer-facing builds and platform work) and ~30% customer-facing scoping and requirements gathering Work experience Experience scaling enterprise deployments building and shipping multiple product features or automations for large customers Education Degree from a top university Ivies, Stanford, MIT, Berkeley, Duke, Harvey Mudd, Claremont McKenna, UIUC, or equivalent strongly preferred Soft skills Comfortable context-switching between customer-facing communication and heads-down coding Miscellaneous On-site 5 days/week in San Francisco Work experience Built or deployed AI/ML automations or agentic workflows in a production environment Hard skills Experience building or integrating LLM/AI automation pipelines (e.g. OpenAI, LangChain, or similar) Traits to avoid Candidates with only large-company experience, no startup exposure or software consulting backgrounds SWEs-turned-FDEs looking to return to pure SWE (no direct customer interaction experience) Job hoppers 3+ jobs in 3 years for early-career candidates is a red flag International candidates without substantive US work experience About this role This is a hands-on, customer-facing engineering role at the intersection of AI, product, and implementation. You'll work directly with some of the largest insurance brokerages in the countryunderstanding their workflows, building AI automations on Client's platform, and shipping solutions within days, not months. The role is ~70% coding and ~30% customer-facing scoping. You'll hop on a call with a customer to understand their problem, then build and deploy an agent that solves itoften in the same week. Everything you build feeds back into the platform, so your work scales beyond a single customer. You won't be doing pre-sales, demos, or upsellingdeployment strategists handle that. Your job is to deeply understand the business domain and build. This role is ideal for engineers who thrive at the intersection of customer empathy and technical execution, and who want to work on cutting-edge AI agents transforming a $1.5 trillion industry that hasn't seen real technology in 20 years. What You Will Do, • Own end-to-end implementation of enterprise customer engagementsfrom requirements gathering to deployed solution, • Build and ship AI agents and automations on Client's platform, deepening adoption within our largest strategic accounts, • Work directly with enterprise customers (post-sales) to understand business problems and scope technical solutions, • Ship rapidlyexpect to deliver working solutions within the same week as customer conversations, • Integrate successful customer-specific work back into Client's core platform, • Collaborate with product and engineering teams to translate customer insights into scalable features About You, • 36 years of post-college engineering experience, no new grads, • Customer-facing engineering experiencecomfortable interfacing with enterprise customers regularly, • Full-stack proficiencycomfortable shipping across front end and back end, • Experience at a VC-backed startup (Series A+) funded by top-tier VCs, • Degree from a top university (Ivies, Stanford, MIT, Berkeley, Duke, Harvey Mudd, UIUC, or equivalent), • Strong ownership mentalityyou don't wait for process, you create it Bonus Qualifications, • Experience building or deploying AI/ML automations or agentic workflows in production, • Proficiency in Python and/or TypeScript, • Experience in insurance or financial services domain Salary $180K - $300K On-site work policy 5 days in-office in SoMa, San Francisco, CA Full-time position Location SoMa, San Francisco, CA Tech stack Python, TypeScript, AI/ML Automations Equity Competitive equity Visa sponsorship details Open to visa transfers(e.g. OPT, H1B transfers) Hiring Count Looking to hire 2 - 3candidates for this role

Job DescriptionAbout the Role We're an early-stage open-source MLOps infrastructure startup building the orchestration layer for ML pipelines and AI agent workflows. We're looking for a GTM Engineer to own our entire US presence and community from the ground up — a one-person outpost role based in San Francisco, reporting directly to the founding team. This isn't a traditional marketing or sales role. You'll be the connector, the voice, and the person who turns conversations into traceable pipeline. The mission: make this company a known name in the SF AI-infra scene through events, community, and authentic technical evangelism. What You'll Do Own and run the SF developer community from zero — including hosting a bi-weekly meetup series that becomes the go-to event for the ML-infra crowd. Work the AI-infra meetups, hackathons, and conferences that matter; build a visible personal brand and network across the Valley. Be the connector — the person who knows everyone, introduces them to each other, and turns relationships into community momentum. Evangelize credibly through talks, blog posts, social content, and short demo videos rooted in real community insights. Demo the product live in front of technical audiences, answer real questions, and hold your own with ML engineers. Instrument community and product signals (Mixpanel, GitHub, CRM, enrichment tools) into an automated flow — enrichment, scoring, follow-up — so every conversation becomes a traceable pipeline rather than a forgotten business card. Serve as the eyes and ears in the Valley: what people are building, what frustrates them, who's evaluating what — and feed that intelligence directly back into product and GTM strategy. What We're Looking For Must-haves: 1–3+ years in DevRel, community building, growth, or developer-facing GTM roles, with a demonstrated track record of hosting events and converting attendee engagement into measurable business outcomes. Ability to demo and explain Python frameworks live to technical audiences, read and understand code, work with APIs, and communicate technical concepts to ML engineers (you don't need to be an engineer yourself). Experience building and scaling developer communities or running technical events from zero, with a track record of growing attendance and engagement. Proficiency with modern GTM stack tools: CRM platforms, data enrichment tools (Clay or similar), API integrations, and basic automation workflows. Experience instrumenting and measuring community/event initiatives using product analytics (Mixpanel or similar), GitHub signals, and CRM data to track pipeline and ROI. Demonstrated ability to create and distribute technical content (blog posts, demo videos, social media) that resonates with developer audiences. Proven ability to convert manual, one-off community activities into repeatable, scalable, measurable systems. Comfortable operating in a self-directed, early-stage environment with minimal hand-holding. Based in San Francisco or willing to relocate — this role is on-site and does not work remotely. Nice-to-haves: Existing professional network within the SF AI, ML infrastructure, or MLOps community. Prior experience building or contributing to open-source communities and familiarity with GitHub-native developer behaviors. Familiarity with the MLOps, LLMOps, or AI agent infrastructure landscape. Experience running product-led growth (PLG) or usage-based GTM motions. Visible personal brand: public speaking, conference talks, or recognizable community presence. Compensation & Benefits Salary: $120,000 – $250,000 USD annually, depending on experience. Direct access to founders and outsized early-stage impact. Visa sponsorship is not available for this role. Location This is a fully on-site role in San Francisco, CA. Presence in the local AI/ML community is central to the job — remote work is not an option for this position.

Job Description About the Role We are looking for Software Engineers – Backend Systems on behalf of our client, an innovative technology company building a high-performance, real-time trading platform. Our client is seeking engineers with production experience in Rust to play a key role in developing the backend infrastructure that powers its platform. The ideal candidate has a strong understanding of asynchronous programming, solid systems knowledge, and a performance-driven mindset. You'll work closely with a highly collaborative engineering team in an in-person environment based in New York or San Francisco. Why Join? This is an opportunity to work on cutting-edge blockchain execution environments and distributed systems, building the technology behind a high-performance real-time trading platform. You'll solve challenging engineering problems involving live market data, high-throughput event streams, and complex trading infrastructure operating at scale. The company is expanding its engineering team and is hiring 3–5 Backend Software Engineers to build critical risk engines, trading APIs, and backend services. If you enjoy working on performance-critical systems, collaborating with top engineers, and making a direct impact on a core product, this role offers an exceptional opportunity to grow your career. Responsibilities • Design, develop, and maintain risk and liquidation engines to effectively manage risk and improve capital efficiency in fast-moving markets., • Build and implement blockchain state machines that support trading, settlement, and risk management operations., • Develop backend services that maintain consistent system state across asynchronous processes using consensus, voting, and coordination mechanisms., • Process real-time market data and coordinate trading activities across multiple venues, managing WebSocket streams and latency-sensitive workflows., • Design and optimize high-performance REST and WebSocket APIs that power the trading platform with millisecond-level response times. Required Experience • 5+ years of experience in backend software engineering., • Production experience with Rust (strongly preferred) or C++., • Experience building real-time, high-throughput backend systems., • Strong knowledge of asynchronous programming, preferably with Tokio or similar frameworks., • Experience working with a variety of databases, including relational, time-series, and key-value databases., • Experience developing low-latency or performance-critical systems, ideally within trading platforms, financial infrastructure, or similar environments., • Previous experience in FinTech, trading, blockchain, or other high-performance distributed systems is highly desirable., • Experience working in a startup environment (VC-backed preferred)., • A genuine interest in financial markets, trading, or blockchain technologies., • Personal side projects or open-source contributions, particularly in Rust or C, are considered a strong advantage. Tech Stack • Programming Language: Rust, • Async Runtime: Tokio, • Architecture: Distributed Systems, Blockchain, • APIs & Communication: REST APIs, WebSocket APIs, • Containerization: Docker The offering: • Salary: $185,000–$300,000 per year (depending on experience), • Equity: Competitive equity package, • Location: San Francisco, California, • Work Model: On-site, 5 days per week, • Team Growth: The client is hiring 3–5 Software Engineers for this role, • Work Authorization: Candidates must already have the legal right to work in the United States (U.S. citizens or Green Card holders). Visa sponsorship is not available for this position. Recruitment Process Stage 1: Initial Screening - CV Review: Your application will be reviewed within 24 hours of submission. • Short Q/A Session: To assess your experience and technical background, you'll be invited to complete one of the following:, • Automated Q/A session (recommended for faster feedback), or Recruiter interview., • Candidates whose experience best matches the role will be shortlisted and presented to the hiring manager. Stage 2: Recruiter Screening (30 minutes) - An introductory conversation with the client's recruitment team to discuss your background, experience, motivation, and answer any initial questions about the opportunity. Stage 3: CTO Interview (30 minutes) - An introductory meeting with the CTO to discuss your experience, technical background, and mutual expectations. Stage 4: Technical Interviews (2 × 60 minutes) - Two hands-on technical interviews with a Senior Backend Engineer, focusing on Rust, asynchronous programming, and systems design. Stage 5: Reverse Diligence Call (45 minutes) - A one-on-one conversation with one of the company's investors, giving you the opportunity to learn more about the business, vision, and growth plans while validating the company from your perspective. Stage 6: Final Interview (30 minutes) - A final behavioral interview to discuss your working style, collaboration, and overall fit with the team. Additional Information • We recommend completing the Automated Q/A Session during the pre-screening stage, as it typically allows us to provide feedback more quickly., • Candidates who prefer a traditional approach may instead complete the pre-screening with one of our recruiters., • We aim to keep candidates informed throughout the process and provide updates after each completed stage. Information about the processing of your personal data is provided in our Privacy Policy, which is available online a Privacy Policy

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As the Engineering Manager for the Data Team, you will lead a high-impact team of data engineers responsible for the foundation of Crusoe’s AI and cloud intelligence. You will bridge the gap between technical execution and business strategy, ensuring our data infrastructure is scalable, reliable, and provides actionable insights for our climate-aligned energy and AI operations. Your success will be measured by the growth of your engineers, the reliability of our data platform, and your ability to execute a roadmap that supports Crusoe’s mission-critical data needs. What You'll Be Working On: Team Leadership & Mentorship: Manage, coach, and grow a team of data engineers. Conduct regular 1:1s, provide career development guidance, and foster a culture of high performance and psychological safety. Strategic Roadmap: Partner with Product, Data Science, and Cloud Leadership to define the long-term vision and quarterly OKRs for the data platform. Technical Oversight: While you may not be writing code daily, you will participate in design reviews and ensure the team is building scalable, maintainable architectures (Data Lakes, Warehouses, and ETL frameworks). Operational Excellence: Drive engineering best practices, including CI/CD, data quality monitoring (observability), and incident management processes. Recruitment: Lead the hiring process to scale the team, focusing on attracting diverse, world-class engineering talent. Cross-Functional Partnership: Act as the primary point of contact for data stakeholders across the company, ensuring the data team is unblocked and focused on the highest-priority initiatives. What You'll Bring to the Team: Leadership Experience: 5+ years of experience managing engineering teams, with a total of 7+ years in data engineering or software engineering. Technical Depth: A strong background in the modern data stack (Python, SQL, Airflow/Dagster, BigQuery/Snowflake,Kafka, Flink) and cloud infrastructure (GCP/AWS). You should be able to lead deep-dive technical discussions. Execution Focus: Proven track record of delivering complex, multi-quarter technical projects on time and at high quality. Communication: Exceptional ability to translate complex technical challenges into business impact for stakeholders and executives. People-First Mindset: A passion for mentorship and a demonstrated ability to help engineers level up in their careers. Analytical Thinking: Experience building data-driven cultures where decisions are backed by metrics and rigorous testing. Bonus Points Experience with bare metal, hyperscaler clouds, or GPU infrastructure. Deep familiarity with AI/ML data requirements or high-performance computing (HPC) environments. Experience at a high-growth startup where you had to "build the plane while flying it." Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $215,000 -$260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description At FuturHealth, we're on a mission to create a product where every individual feels inspired and empowered to confidently take charge of their wellbeing. We believe in and are dedicated to offering personalized and holistic approaches to combat health concerns. Operating at the intersection of health and technology, we provide a comprehensive range of services, including telemedicine, personalized nutrition plans, medication delivery, and insurance solutions. We believe that wellbeing is deeply personal, and the path to becoming the best version of yourself is paved with progress, not perfection. Our central focus is on utilizing scientifically-proven prescriptions and telehealth initiatives to tackle obesity head-on. ABOUT THE ROLE FuturHealth is looking for a Senior Product Manager to own our payments and checkout experience end-to-end. You'll drive the product roadmap for how patients pay — from initial checkout through subscription rebills — while also owning the operational health of our billing infrastructure. This is a high-autonomy role on a lean team: you'll set strategy, ship features, manage vendor relationships, and keep the numbers clean. You'll report to the Head of Product and work daily with engineering, data, growth, and CX. This role exists because payments is a growth lever, not a back-office function. Auth rates, rebill success, and checkout conversion are your direct metrics — and they ladder into the numbers leadership watches most closely. WHAT YOU'LL OWN Product Strategy & Roadmap • Own the payments product roadmap — prioritize, scope, and ship improvements to checkout, subscription billing, upsell/downsell flows, and payment method expansion., • Define and track success metrics (checkout conversion, rebill auth rate, chargeback ratio, AOV) and use them to drive prioritization., • Design and run A/B experiments on checkout and billing flows; interpret results and make ship/kill decisions., • Write specs, coordinate cross-functional execution with engineering and design, and manage releases through QA and launch., • Evaluate and recommend new payment methods, processors, and billing models based on business impact and implementation cost. Vendor & Processor Management • Own the relationship with our payment orchestration platform (Gr4vy) and downstream processors — not just escalations, but product-level partnership on features, routing optimization, and MID strategy., • Manage processor onboarding, MID warmup, and volume migration across acquiring banks., • Coordinate with BNPL and alternative payment partners on integration, performance, and commercial terms. Operational Excellence • Monitor transaction success rates, rebill health, and chargeback ratios; proactively surface trends and drive fixes before they hit thresholds., • Own chargeback and dispute management: investigate root causes, coordinate responses, and implement preventative measures., • Resolve complex billing escalations from CX, working cross-functionally with engineering, finance, and compliance., • Maintain and improve operational runbooks, billing policies, and escalation procedures. Analytics & Reporting • Build and maintain dashboards and reports (Looker, BigQuery) to communicate payments health and feature impact to stakeholders., • Partner with the data team on attribution, funnel analysis, and revenue reporting tied to payments changes., • Deliver a weekly payments update to the broader team synthesizing metrics, shipping activity, and upcoming priorities. MINIMUM QUALIFICATIONS • 5+ years in product management within payments, billing, or checkout — not adjacent, in the domain., • Track record of integrating AI-powered tools — coding assistants, agentic workflows, LLM-driven analysis — into day-to-day product work to move faster and raise the quality of output., • Experience at a subscription-based DTC company, startup with founder interactions, especially in health, wellness, or telehealth., • Direct experience working with payment processors, acquirers, or orchestration platforms — you understand auth flows, settlement, and why transactions fail., • Proven ability to ship product improvements that moved conversion or revenue metrics, with data to back it up., • Familiarity with payment orchestration platforms (Gr4vy, Spreedly, or similar) and multi-processor routing strategies., • Comfortable owning operational responsibilities (chargebacks, vendor SLAs, processor performance) alongside product work — you don't see ops as beneath you., • Strong analytical skills —build a dashboard, and proactively interrogate data, • Clear, concise communicator who can write a spec, run a standup, and present to leadership without mode-switching. PREFERRED QUALIFICATIONS • Experience with experimentation platforms (PostHog, Optimizely, or similar) for checkout/billing A/B testing., • Background working in a lean product-engineering org where PMs carry operational load., • Exposure to fraud prevention, risk operations, or compliance in a regulated commerce environment., • Familiarity with Braze or similar platforms for transactional and lifecycle communications tied to billing events. The total compensation pay range for this role is $175,000- $185,000. We offer a competitive salary package and may include variable compensation. Actual compensation is based on factors such as the candidate's location, skills, qualifications, and experience. Additional Company Info Founded by a team with a proven track record of delivering exceptional experiences to over 25 million consumers, they began by revolutionizing personalized nutrition through an intuitive mobile app that adapts meal plans to individual metabolisms and preferences. With seamless integrations with food services and a thriving community of like-minded individuals, the formation of FuturHealth began to further empower people on their health journey. Securing Series Seed Funding in December 2023, FuturHealth is backed by Corazon Capital, Oversubscribed Ventures, and InterAlpen Partners. We achieved remarkable 40X growth in 2024 and are proud to be maintaining this impressive momentum. We are currently seeking visionary people to join us in our journey to revolutionize healthcare and empower individuals to lead healthier lives. If you are passionate about making a meaningful impact and driving innovation in the health and wellness and technology space, we invite you to explore opportunities and be a part of the future of healthcare. What we can offer: • Flexibility and Balance:, • Fully remote work policy, Unlimited Paid Time Off (PTO), 13 Company Holidays plus Floating Holiday flexibility for added personal convenience! Paid Parental Leave (US Only), • Comprehensive Total Rewards (US Only): Health, Dental, Vision Insurance, and Retirement (401k)., • Wellness Support (US Only): Employee Assistance Program (EAP), Health Savings Account (HSA), and Flexible Spending Account (FSA)., • Exclusive Perks (US Only):, • Partnerships: SmartSpend discounts, SoFi financial tools, One Medical care, and Rightway healthcare navigation., • Pet Insurance: Affordable plans for your furry friends., • Commuter Benefits (State Specific): Simplify daily travel., • Tools to Thrive:, • New hire swag and company equipment (laptop, software) for a seamless start., • Authentic startup exposure with opportunities to make a tangible impact., • A culture built on autonomy, accountability, and results-driven success. Note: Benefits and compensation listed may vary based on the country of your employment and the nature of your employment with Futurhealth.

Job DescriptionJob Summary Pantomath is hiring a Senior Product Manager for AI with direct, hands-on experience building agentic systems to own the strategy and execution of our AI product surface. This role sits squarely at the intersection of product leadership and applied AI engineering. You will be responsible for defining how Pantomath's agents resolve data incidents: what context they can see, what actions they are trusted to take, how their output is evaluated, and where the boundary sits between what the agent does and what the human decides. That work spans our context layer (structural, behavioral, baseline, risk, and semantic context), our resolution and triage agents, and our MCP-based distribution into the surfaces customers already work in (Teams, Slack, ServiceNow, Jira). The bar for this role is hands-on. You deeply understand frontier model capabilities and limitations, fluency in the parts that decide whether an agent is trustworthy: what goes into its context and what gets left out, tool and API surfaces the model can actually use correctly, evaluation for non-deterministic systems, and the cost/latency/quality frontier and the unique UX considerations of non-deterministic systems. Enough depth to read a failed trace and name the defect - retrieval, tool definition, context assembly, or prompt. You will use that experience to set technical direction, write precise requirements, and partner closely with engineering to deliver agents that are reliable enough to earn autonomy in production data environments. About Pantomath Pantomath is building the autonomous layer for enterprise Data Operations. Our agents catch data incidents, trace them to root cause across the stack and resolve them, pinpointing their root cause, and resolve them with operational context from across your entire stack. Backed by a $30M Series B led by General Catalyst (alongside Sierra Ventures, Bowery Capital, Epic Ventures, and Hitachi Ventures), Pantomath is pioneering the transition enterprises from passive data monitoring to real-time, autonomous incident resolution. Across our entire company, Pantomath brings together seasoned startup founders, operators with prior successful exits, and veteran talent from market-defining technology companies including Google, Meta, Stripe, Databricks, Microsoft and Amazon. We combine the high-ownership, high-velocity culture of a scaling venture-backed startup with the deep execution rigor and track record of proven industry leaders. What You'll Do Own the AI product strategy and roadmap, making informed, technical decisions about which workflows an agent should own end to end, which it should assist, and which it should stay out of. Leverage your applied AI background to evaluate feasibility, failure modes, and long-term maintainability of agentic features. Define and defend the agent boundary: what the agent is trusted to do autonomously, what requires human confirmation, and how that boundary widens as trust is earned. Translate customer needs, technical constraints, and model capabilities into clear, detailed PRDs that engineers can execute against without ambiguity. Partner closely with engineering to design, build, evaluate, and ship agents that meet strict standards for accuracy, latency, cost, observability, and security. Build and own the evaluation harness: define golden datasets, quality rubrics, and regression testing so that model and prompt changes ship on evidence rather than anecdote. Replicate real-world customer data environments and incident scenarios to validate agent behavior, and ensure production readiness. Define success metrics for AI features (resolution accuracy, acceptance rate, time to root cause, deflection, token cost per outcome) and actively monitor, diagnose, and iterate based on data and feedback. Work with Go-to-Market teams to support launch readiness, technical enablement, and customer-facing documentation, including how to explain what the agent knows and why it is right. Stay current on trends and best practices across foundation models, agent frameworks, MCP and tool-calling standards, retrieval, and evaluation to inform roadmap decisions. Advocate for a best-in-class experience for data engineers and analysts, ensuring AI capabilities are transparent, correctable, and trustworthy at scale. Required Qualifications (Non-Negotiable) • Hands-on experience building with LLMs in a technical role (e.g., shipping production AI features, building agent workflows, prompt and context engineering, running model evaluations)., • 3+ years of product management experience working on technically complex products such as AI/ML platforms, data platforms, developer tools, or APIs. Strong, working knowledge of: Foundation model capabilities, limitations, and cost/latency trade-offs Agent architecture patterns: tool calling, context assembly, retrieval, orchestration, and guardrails Evaluation methodology for non-deterministic systems Demonstrated judgment about when AI is the right answer and when it is not. Proven ability to partner deeply with engineering teams and make informed trade-offs. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field (or equivalent practical experience). Preferred Qualifications Experience with MCP, agent frameworks, or embedding AI into third-party surfaces such as Teams, Slack, ServiceNow, or Jira. Prior ownership of an AI or agent product within a B2B SaaS or data product. Familiarity with data observability, lineage, governance, or metadata platforms. Hands-on background in data engineering or data architecture, or experience building AI on top of enterprise data systems. Experience in a high-growth SaaS or developer-focused product environment. Who This Role Is (and Isn't) For This role is ideal for a PM who: Has actually built with models, not just written strategy decks about them Is energized by the hard part of agentic products, which is proving they are right often enough to be trusted Enjoys being close to the technical details and using that depth to drive product decisions This role is not a fit for PMs whose AI experience is limited to evaluating vendors or shipping a chat interface. Pay Range for this role is 124,000 - 182,000

Job Description As our Product Marketing Manager for Member Lifestyle, you’ll design and own the full end-to-end member journey - from the very first interaction through long-term engagement. This role blends experience design, storytelling, behavioral psychology, and product strategy to craft moments that are intuitive, emotionally compelling, and unmistakably premium. You’ll partner closely with Product, Growth, and Design to create high-trust experiences that meaningfully improve activation, engagement, and retention. This is unique opportunity for someone truly customer obsessed to help build the first health lifestyle brand. You’ll ensure every touchpoint is consistent, thoughtful, and velvety-smooth, setting the standard for the category. What You’ll Do Lifecycle and retention Own all email and lifecycle flows for new members, active members, and re-engagement Treat email as a long-term system that compounds over time Continuously test, prune, and evolve flows based on cohort performance Conversion and clarity Own core landing pages and high-intent sub-pages Partner with Growth to experiment on positioning, structure, and messaging Ruthlessly remove confusion and cognitive load Product and in-app messaging Define how Superpower explains itself inside the product Shape onboarding, education, nudges, and monetization moments Ensure in-app messaging is clear, human, and benefit-led Customer voice Synthesize member behavior, objections, and feedback into clear recommendations Act as a translator between customer psychology and product decisions What Good Looks Like 1) Email as a compounding system Every member flow has a clear hypothesis Performance is tracked by lifecycle stage, intent, and behavior Weak emails are removed without sentimentality Winning patterns are reused and scaled 2) Clear, differentiated messaging Can explain Superpower in one sentence, five sentences, or a full page Messaging is benefit-led, not feature-led Understands narrative sequencing across a journey, not just single screens 3) Tight cross-functional collaboration Part of the Growth team but can work directly with Product & design Comfortable shipping imperfect v1s and polishing what proves itself 4) Taste and judgment Has a strong bar for copy and UX Can say “this isn’t good enough” and explain why Who You Are High-velocity execution - work with urgency, and iterate rapidly to drive progress Ownership mentality - you take responsibility for outcomes and see initiatives through from idea to launch Obsessive about details - you spot member friction before anyone else does Fascinated by customer psychology - you design for how people behave Background in marketing, UX, or design; PM experience is a plus but not required High IQ, even higher EQ - you read both systems and people with precision A sharp communicator and storyteller whose copy elevates the entire product Comfortable with ambiguity, cross-functional chaos, and building 0→1 Bonus: founder or early-stage startup experience About Superpower Superpower is a new health system on a mission to extend and enhance human life. We started with lab testing, then data aggregation / digital twin, then an AI doctor, and now peptides. Over the past 6 months, we have grown 10x whilst halving CAC. Now we are gearing up for hyper growth. You can find more about us below: superpower.com/series-a Superpower Overview Culture at Superpower Company Philosophies We are all here to genuinely do our life’s best work Insanely high talent bar, never settling. A players only (see Steve Jobs) We live to work as much as we work to live. But we sustainably espouse the superpower ethos of putting health first We aim to set the gold standard for team health culture on the planet — live the ethos! Investors Forerunner (Top consumer healthcare VC in the world; early board members of Hims and Oura; Kirsten, founder of Forerunner, led our Series A) 8VC (leading health and bio investor) Evan Moore (Founder of Doordash; Partner at Khosla Ventures) Cyan Bannister (early investor into Uber and SpaceX, former partner at Founder’s Fund, regarded as one of the top angels in the world) Balaji Srinivasan (ex-Coinbase CTO and angel, ex-General Partner at a16z) Arielle Zuckerberg (active angel, tech leader, relatively famous brother) Cameron & Tyler Winklevoss Susa Ventures (tier 1 healthcare VC) Bond Capital (General Partner Jay Simons' early-stage fund within Bond) Long Journey Ventures (investor in Uber, Notion, Loom, Affirm etc.) Influencers Shaan Puri (angel and podcast host of my first million) Brooke Monke (50 million followers across socials) Logan Paul Steve Aoki Justin Mares (founder of Truemed) Giannis Antetokounmpo Kylian Mbappé We’re proud to be a global team and welcome talent from around the world. We offer visa sponsorship and can support relocation to the United States for the right candidates. Much of our team is international, and we’re committed to building a team of top-tier talent.

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Workplace: On-site, 5 days per week Location: San Francisco, CA (Dogpatch neighborhood) We are seeking a Robotics Lab Technician to be the versatile builder at the center of our prototype lab. You'll move fluidly between precision assembly, wiring and electrical integration, system bring-up, and acceptance testing to take robots from a kit of parts to a validated, working system. You'll install software and read logs, bridging the gap between hardware and software during bring-up, and you'll troubleshoot and solve integration issues during testing and validation. We're looking for someone careful with their hands, organized about documentation, and comfortable collaborating with mechanical, electrical, controls, and software engineers in a fast-iterating environment. Key Job Responsibilities • Assemble electromechanical robotic systems and subsystems (actuators, gearboxes, sensors, vision systems, wiring harnesses, PCBAs) from mechanical drawings, schematics, and work instructions, following torque specs and assembly procedures., • Kit parts against the BOM, stage hardware and fixtures, and set up assembly jigs and alignment rigs for each build., • Build first articles from prototype kits, provide engineering with actionable build feedback (DFx), and execute rework and engineering change orders (ECOs) as designs iterate., • Fabricate, route, and terminate wiring harnesses to documented pinouts with proper strain relief, bend radius management, and cable routing for moving assemblies., • Perform pre-power-on electrical verification (continuity, pinout, insulation, polarity) and board-level integration under ESD discipline., • Maintain build records, travelers, inspection checklists, and non-conformance reports (NCRs) ensuring full traceability. Redline and improve work instructions with each build., • Bring up newly built assemblies, verify actuator and sensor function, and run acceptance testing and performance characterization using standard and custom test equipment., • Use git and the Linux command line to install, configure, and run test and calibration software on robots; track software versions across the fleet., • Read logs and source code well enough to localize problems and provide engineering with actionable triage reports., • Collaborate with engineering to isolate integration issues, narrow root cause across mechanical, electrical, and software domains, and drive corrective actions into work instructions., • Keep the lab safe, organized, and ESD-compliant; track tooling, consumables, and inventory., • Drive continuous improvement and support prototype-to-production transitions by developing SOPs, assembly aids, and training materials. Required Qualifications • 3-5+ years of hands-on experience assembling and testing electromechanical systems such as robotics hardware, precision mechatronic assemblies, aerospace/automotive hardware, or electronics assembly in a lab, prototype, or manufacturing environment., • Able to read and interpret mechanical drawings, electrical schematics, wiring diagrams, and written work instructions to build and test complex hardware., • Proficient with hand and torque tools, basic crimping and soldering, and steady work with small fasteners and connectors., • Demonstrated ability to perform functional and acceptance testing using standard test equipment such as multimeters, oscilloscopes, and power supplies., • Experience performing quality inspections and maintaining detailed build records, including assembly travelers, inspection checklists, and non-conformance documentation., • Comfortable at a Linux command line running scripts, and willing to grow those skills., • Knowledge of ESD handling procedures and lab safety protocols for working with high-voltage electronics and heavy mechanical assemblies., • Clear communication, careful record-keeping, and safe work habits. Preferred Qualifications • Associate's degree or technical certification in Electronics Technology, Mechatronics, Robotics, Mechanical Engineering Technology, or a related discipline, or equivalent hands-on experience., • Experience assembling and testing robotic systems with high degrees of freedom, including familiarity with actuators, force/torque sensors, IMUs, encoders, and vision/camera systems., • Wiring harness fabrication experience including building to a pinout, connector assembly, and cable routing on moving assemblies., • Background in a robotics research lab, hardware startup, aerospace, or advanced electromechanical environment where rapid prototyping and tight engineering collaboration are standard., • Mechatronics training/coursework or electromechanical troubleshooting experience., • Some scripting ability (Python or bash) for test and calibration; basic familiarity with git, Docker, or networking., • Experience with ERP systems, MES, PLM, or lab management tools for tracking inventory, build status, component traceability, and hardware/software revision control. Work Environment & Physical Requirements • On-site lab role; standing, bench work, and hands-on assembly for extended periods, including work in awkward positions and tight spaces., • Fine motor precision and close-vision work with small fasteners, connectors, and board-level components., • Lifting and maneuvering heavy robotic assemblies; use of required PPE., • Work around high-voltage electronics, powered actuators, and moving machinery. Salary Range • $100,000-$115,000, • The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description HIRING: Forward Deployed Engineer (FDE) | San Francisco This is not a traditional software engineering role. You’ll sit directly at the intersection of: Agentic AI Software Engineering Enterprise Customers Product & Deployment You’ll own client deployments from scoping → development → integration → go-live, working directly with senior stakeholders and technical teams. ROLE DETAILS • Position: Forward Deployed Engineer (FDE), • Type: Full-time, • Location: San Francisco, CA, • Work Policy: On-site, Monday–Friday in SF Mission office, • Openings: 8–10, • Compensation: $165K–$250K + competitive equity, • Visa: OPT & H-1B transfers supported (Must currently reside in the USA), • Interview: 4 steps, • Primary Tech: Python WHAT MAKES THIS ROLE DIFFERENT? You won't simply build features from a product specification. You’ll work directly with customers to understand their problems, build solutions on the fly, deploy AI systems into production, and remain accountable for the outcome. You’ll be the engineer who can: Understand the customer → Design the solution → Write the code → Deploy AI → Improve the outcome WHAT YOU'LL DO ✅ Deploy multimodal, agentic AI systems into production ✅ Own customer deployments end-to-end, from scoping through go-live ✅ Serve as the primary technical contact for senior client stakeholders ✅ Build trusted relationships with customers and understand their business challenges ✅ Design and evolve AI agents for optimal claims outcomes ✅ Work with prompt engineering, model integration, and AI-assisted coding tools ✅ Work with Applied AI on a daily basis ✅ Scope and develop features that help customers scale ✅ Integrate the platform into customer environments through APIs and systems ✅ Work directly with customer engineering teams ✅ Partner with the core platform team to improve delivery ✅ Capture deployment learnings and create internal best practices/playbooks MUST-HAVE QUALIFICATIONS Experience ✔️ 2–5 years of experience in a technical role using Python ✔️ Experience building and shipping production code ✔️ Experience at a VC-backed startup, founding/founder environment, or fast-paced public technology company Examples include companies such as Databricks, Stripe, or Datadog. Technical ✔️ Strong software engineering fundamentals ✔️ Data structures & algorithms ✔️ System design ✔️ Strong Python ✔️ Familiarity with LLMs, prompt engineering, and agentic AI Customer & Communication ✔️ Strong client-facing or product-oriented experience ✔️ Excellent communication skills ✔️ Ability to explain technical concepts and thought processes clearly ✔️ Comfortable working directly with senior customer stakeholders Education ✔️ STEM degree ⭐ NICE TO HAVE ➕ Graduate of a top-20 university for your program ➕ Early-stage startup experience ➕ VC-backed startup experience ➕ Founder / founding engineer experience ➕ Previous customer-facing engineering experience STRONG CANDIDATE SIGNAL The strongest candidates can combine technical depth + customer communication + execution. You should be comfortable taking an ambiguous customer problem and turning it into a working production solution. IMPORTANT This position requires working 5 days per week in the San Francisco Mission office. This is a highly hands-on role. Candidates should be comfortable writing code, working directly with customers, and operating in a fast-paced environment. The role may not be a fit for candidates whose background is: ❌ Primarily non-client-facing ❌ Primarily consulting/contracting ❌ Purely business/non-technical ❌ Limited production coding experience ❌ Limited ability to communicate technical decisions clearly INTERESTED? If you have 2–5 years of Python/software engineering experience, strong production coding skills, and enjoy working directly with customers on AI solutions, I’d love to hear from you. Please highlight any experience with Python, LLMs/agentic AI, customer-facing engineering, production deployments, and startup environments.

Job Description Location: San Francisco Bay Area, CA, or Singapore (On-site) Schedule: Full-time Salary: $100K–$200K Company: Our client is a Y Combinator-backed company building infrastructure to create reinforcement-learning training data and evaluations for frontier AI agents, along with a marketplace connecting this work with frontier labs. Its platform is used by frontier labs, Fortune 500 companies, and startups. Description: Our client is seeking its first full-time Security Engineer to own and build the security program. This is a hands-on, senior individual-contributor role spanning product security, cloud infrastructure, internal systems, incident response, compliance, and customer trust. The immediate mandate is to bring security up to the standard required of a rapidly scaling data company, strengthen controls as the supplier footprint grows, and take SOC 2 from in progress through completion. Proactive controls, detection, and attack-surface management are central priorities. Key Responsibilities: • Own the security roadmap across product, cloud and infrastructure, corporate systems, incident response, and compliance, • Harden AWS infrastructure and accounts, including IAM, networking, logging, Terraform, secrets management, and automated guardrails, • Establish stronger monitoring, SIEM/XDR, detection engineering, alerting, and incident-response workflows that identify and stop problems before they become incidents, • Secure applications, APIs, the platform, and data workflows through threat modeling, design reviews, code reviews, vulnerability research, authentication and authorization controls, and remediation, • Improve container and workload isolation for systems that execute untrusted code or process sensitive data, • Own abuse, fraud, and incident response end to end, including containment, investigation, postmortems, and durable follow-up engineering, • Build continuous attack-surface management across domains, cloud services, third-party hosting, vendors, and externally exposed assets, • Complete SOC 2 and own customer trust work, including control design, evidence, policy management, security questionnaires, vendor reviews, and audits, • Translate contractual and data-license requirements into enforceable controls for access, permitted use, retention, deletion, isolation, provenance, and auditability Qualifications: Core Experience: • 5–10 years of deeply hands-on security experience across offensive security, infrastructure or cloud security, application security, and incident response, • Experience building a security program from zero at least once, ideally as an early security hire at a fast-growing startup, • Strong AWS and cloud-engineering depth, including infrastructure as code with Terraform, • Current hands-on ability to review code, find vulnerabilities, design controls, deploy tooling, and personally lead investigations, • Experience implementing or operating SOC 2 or a comparable security framework, • Sound judgment and the ability to prioritize the risks that matter in a fast-moving environment Preferred: The following are considered strong signals: • Bug bounty work, penetration testing, vulnerability research, published CVEs, security tooling, conference talks, or substantive technical writing, • OSCP or OSWE; AWS, cloud engineering, CKS, or hands-on GIAC certifications, • Systems programming, operating systems, Linux kernel work, low-level networking, or experience building infrastructure from the ground up, • Experience securing AI/ML infrastructure, agent execution environments, data platforms, or other systems that run untrusted code This role requires current hands-on technical depth and broad security ownership. It is not designed for candidates whose recent experience has been exclusively people leadership or limited to a narrow specialty within an already mature security organization. Offensive-security experience alone is insufficient without demonstrated cloud engineering and program-building ability. Why Join Them? • Become the company's first full-time Security Engineer and own the security program, • Shape security across product, cloud infrastructure, internal systems, incident response, compliance, and customer trust, • Address security challenges involving untrusted code execution, sensitive data, and a growing supplier footprint, • Relocation and visa support are available for strong candidates

Job Description San Francisco, CA · On-site · Full-time Compensation: $180K–$230K + equity About the Company Our client is a seed-stage startup building conversational AI agents that run live product demos and autonomous sales for B2B companies — prospects start a conversation and get an instant, interactive demo instead of waiting on a scheduled call. They’ve tripled their customer base in the past month and are backed by strong investors. You’d be one of the first engineers on the team, working directly with the technical founder. Founded 2025 · Small founding team · Industry: B2B, AI, Software Development The Role This is a true full-stack founding role with no fixed lane. You’ll build across the entire product alongside the technical founder — the conversational agent, the embeddable customer-facing experience, the internal platform, the evaluation and self-improvement pipeline, and the infrastructure underneath it. You’ll usually get a problem statement rather than a spec and own the solution end to end, shipping quickly and iterating in production. What you’ll be doing • Diagnose and fix live customer agents, then ship fixes to the orchestration layer the same day, • Prototype generative UI that adapts in real time to what each prospect cares about, • Own an eval pipeline: catch quality regressions, trace root causes, roll back, and add tests, • Design and build net-new infrastructure (e.g. versioning so customers can preview agent changes before they go live), • Move across the stack as the problem requires, including the unglamorous work — CSS, migrations, and customer debugging Tech stack: Python, React Requirements • 1–5 years building full-stack products at a venture-backed B2B SaaS startup (roughly pre-seed through Series C) with real, paying customers, • Genuinely full-stack, with strong front-end, UX, and customer-facing product experience — not backend-only, • Hands-on experience shipping production AI-agent features to real users: LLM agents, RAG pipelines, or agent orchestration (frameworks or custom-built), • Comfortable working with React and Python, • A CS undergraduate degree, • Thrives in ambiguous, fast-moving environments and takes high ownership, • Strong product instincts, with genuine excitement about turning user feedback into shipped codeNice to Haves, • Prior experience at a venture-backed sales-tech startupWhy Join, • Founding-team seat with direct access to the technical founder, helping set engineering culture from the ground up, • Real, fast-growing customer traction and strong backing, • Broad scope across agents, product, evals, and infrastructure — the hard problems, not a narrow sliceDetails, • Location: San Francisco, CA, • Work policy: On-site, 5 days a week, • Compensation: $180K–$230K + equity, • Visa sponsorship: Not available (US citizens or Green Card holders), • Employment type: Full-time

Job DescriptionAbout Clerkie Clerkie is a fintech startup on a mission to democratize financial wellness using the power of artificial intelligence. Launched in 2018, Clerkie began with an app, aiming to help the nearly 123 million underserved Americans in need of financial guidance. Since its inception, the company has expanded its services and now pairs consumer guidance with cutting-edge B2B software. By pairing the two through the Clerkie network, these tools have become the go-to resource for creditors looking to manage loan losses while simultaneously helping millions of borrowers get out of debt. Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United States. To date, the company has raised $41 million, including a $33 million Series A round in early 2023. Investors include leading financial and venture institutions, including Citi Ventures, Left Lane Capital, Wellington Ventures, Flourish Ventures, and Vestigo Ventures. About the role We're looking for a Backend Engineer who wants to build and own critical systems in a fast-moving environment. This role is ideal for someone with strong backend fundamentals who is ready to take on meaningful ownership. You'll work on systems that power Clerkie's platform and support both internal and external product experiences. At Clerkie, engineers operate with a high degree of ownership and autonomy. You'll collaborate across functions, contribute to technical decisions, and help ensure the platform remains reliable as we grow. Because we're still early, this role goes beyond implementation you'll play a role in shaping how we build and evolve our systems over time. Here's what you'll do • Design, build, and maintain backend services, • Contribute to system reliability, performance, and scalability, • Participate in technical design discussions and decision-making, • Support feature development across the platform, • Improve visibility into system health and performance, • Collaborate cross-functionally to deliver a seamless user experience, • Contribute to internal engineering practices and documentationHere's a snapshot of what the Engineer team tackled recently, • Scaled backend systems to support growing enterprise usage, • Built new infrastructure to support partner integrations, • Improved system observability and production reliability, • Supported high-priority product initiatives tied to revenue growth, • Collaborated closely with leadership on technical direction and tradeoffs, • Refined how we build, ship, and maintain systems, • Helped clean up and organize Coda, our internal knowledge hub, to make life easier for future new hires (like you!), • Onboarded a new teammate to the Engineering team and updated internal rituals to set them up for success, • Spent the day on a private ranch in Jackson Hole horseback riding, axe throwing, eating outside a Michelin Star chef's table, roasting smores under the stars, and celebrating your latest hackathon win, • And more! From big wins to team traditions, it's been a big year so far and we're just getting started ????Must-haves, • Experience building and shipping backend systems in production, • Strong fundamentals in system design and backend architecture, • Proficiency in JavaScript / Node.js (or similar backend languages), • Experience working with databases (NoSQL preferred, e.g., MongoDB), • Ability to own projects end-to-end and operate independently, • Strong communication skills across technical and non-technical teams, • Comfort working in a fast-moving, evolving startup environmentNice-to-haves (but not required), • Experience working on backend or server-side, • Experience with AWS (EC2, S3, etc.) or cloud infrastructure, • Experience with distributed systems or data-heavy applications, • Familiarity with fintech, financial services, or regulated industries, • Background in engineering, computer science, analytics, or another technical field, • Experience working in early-stage startups or high-growth environments, • Curiosity about financial wellness and technology that improves people's livesWhat we value, • Strong ownership mindset - you take responsibility for outcomes, not just tasks, • Bias for action - you move quickly and make thoughtful decisions, • Customer-first thinking - you care about the real-world impact of what you build, • Resilience and adaptability - you can navigate ambiguity and evolving priorities, • Desire to build something meaningful and long-lastingOur salary & benefits, • ???? Salary range: $90-150k, • ???? Equity, • ???? Remote-first role (US only), • ???? Medical, dental, and vision insurance, • ???? 401(k) + retirement benefits, • ???? Paid time off + annual company retreat, • ???? Company laptop + home office stipend, • ???? Collaborative, values-driven cultureOur Hiring Process We believe in a two-way interview process that helps us get to know you and helps you get to know us. • Application & Coderbyte (async candidate time), • Recruiting Screen w/ Head of People (15-20 minutes via Google meet), • Take-Home Challenge & Live Review w/ Sr. Engineer (challenge is async candidate time, live review is 45 mins via Google meet), • Live Coding Challenge w/ Sr. Engineer (90 minutes via Google meet), • Final Management Meeting w/ SLT (45 minutes via Google meet) Before we extend any offers, all candidates must successfully complete a standard background check in addition to a reference check. These checks are conducted in tandem to ensure a safe, secure, and compliant environment for all Clerkie team members and stakeholders. We approach this stage with transparency and sensitivity, and candidates will be provided with clear information about the process. AI & Interview Assessments At Clerkie, we embrace AI and use it throughout our day-to-day work. We value people who thoughtfully leverage modern tools to learn, build, and solve problems more effectively. Our interview process is designed to evaluate each candidate's own technical thinking, communication, and problem-solving approach. To help ensure every candidate is assessed fairly, consistently, and under the same conditions, we ask candidates not to use external problem-solving resources during live interviews or technical assessments unless we explicitly state otherwise. This includes AI assistants, interview assistants, search engines, and other third-party resources. You're welcome to reference any documentation or materials that we provide as part of the interview. This expectation does not apply to approved interview accommodations or assistive technologies. If you require a reasonable accommodation at any stage of our hiring process, please let us know. We're committed to providing an accessible and equitable interview experience for all candidates. If this interview expectation is not followed, we may conclude the assessment and discontinue the interview process.

Job DescriptionFounding GTM Engineer (Series A Fintech / EdTech) Location: San Francisco, CA or Phoenix, AZ (In-Person, Full Time) | Seniority: Founding / Senior IC | Equity: Meaningful Founding Stake The Mission: Architecting the Financial Rails for the $900B School Choice Movement. We are an exclusively retained partner for a high-growth startup building the infrastructure for Education Savings Accounts (ESAs). Currently, the $900B US public education budget is being unlocked, giving parents direct control of ~$7,500 per child, per year. This company is building the specialized charge card, reimbursement engine, and vendor marketplace that makes this autonomy possible. With $16M raised from top-tier VCs and a team that has already rejected acquisition offers, this is a "life's work" commitment for a founding operator. The Team: High-Density Talent & Intensity You will join a full-time in-person culture in San Francisco or Phoenix. You will work alongside: • Founders: A former Goldman Sachs Quant and an engineer who built global-scale computer vision systems at age 19., • Engineering & Risk: Former leads and AI researchers from Stripe, Mercury, SpaceX (Ad Astra), Microsoft, and Circle., • Policy & Community: The former Deputy Director of a gold-standard state ESA department and leading national school choice advocates.The Role: GTM as an Engineering Discipline This is not a traditional sales or marketing role. We are looking for a Founding GTM Engineer to build a community-led growth engine from hundreds of families to tens of thousands. • Engineer Acquisition Loops: Move beyond paid acquisition to build compounding, community-led flywheels through homeschool co-ops, education pods, and micro-influencers., • Live in the Parent Psyche: You will spend real time in the field with families to understand what drives trust and triggers adoption - converting those insights into concrete GTM decisions, not decks., • Data Rigor: You will instrument funnels, set up tight feedback loops, and analyze cohort/retention curves with the precision of a software engineer., • Own Onboarding Conversion: You will be the primary owner of the onboarding funnel, driving toward a critical 500-account target and beyond Requirements Ideal Candidate Profile We are looking for a rare combination of top-tier pedigree and scrappy, high-output execution. • Pedigree Signal: Academic background from a premier institution (Stanford, Harvard, Wharton, MIT Sloan, or equivalent)., • Experience: 3–6 years in consumer growth or GTM ops at a high-growth company (e.g., Duolingo, Chime, ClassDojo, or equivalent)., • Quantitative Depth: Expert in funnel analysis and cohort modelling who "lives in the data"., • Field Orientation: You "get on the plane" - you value in-person interactions and are willing to do the ground-level work at events and home visits that move metrics., • Mission Alignment: A genuine respect for family autonomy in education and an understanding of the high-stakes trust dynamics involved in education spending Benefits Commitment, Compensation & Benefits This will be a big commitment, and we're aiming high. It needs to be something you are energised about taking on, or this isn't the team for you. • Competitive Salary: $120,000 – $170,000 per year, commensurate with experience., • Generous Founding Equity: We compensate you well with equity., • Top-Tier Backing: We've raised $16M from top-tier VCs and angels., • Relocation Support: You are willing to relocate to San Francisco, CA, or Phoenix, AZ, and travel to visit customers. We're an in-person company and are in the office together., • Comprehensive Visa Sponsorship: If you do not have a visa, we can support you., • Unmatched Impact: The rare opportunity to directly shape how the $900B US Public Education budget is being opened up for parents to take control of their portion (avg. $7.5k/kid/year). INDEQL

Job Description Dealpath's engineering team is built on technical excellence, collaboration, impact, and execution, and we operate at the frontier of AI-powered real estate technology. We're looking to add an Engineering Manager who combines proven leadership with a genuine fluency in AI-assisted development, and the ability to coach their team to work effectively in that environment. We're hiring experienced Engineering Managers for full-time roles, with a hybrid schedule that includes three days a week in the office in San Francisco, CA. You're excited about this opportunity because you'll: • Lead, mentor, and coach a team of talented software engineers, fostering growth, collaboration, and technical excellence., • Champion AI-forward engineering practices using AI tools consistently in your own work and coaching your team to do the same: prompting with context and constraints, reviewing AI-generated code critically, and knowing when to rely on AI versus reason independently., • Drive execution of high-impact product initiatives in close partnership with Product, Design, and Quality teams., • Recruit and onboard world-class engineering talent., • Provide clarity in scope and timelines while ensuring delivery of high-quality, testable, and secure code., • Collaborate with architects and senior engineers to evolve platform architecture and technical strategy., • Champion a culture of inclusion, transparency, and accountability within the team and across the company.We're excited that you are:, • Bringing deep technical expertise with 10+ years of professional software engineering experience., • Experienced in leading and managing software engineering teams (3+ years in management or technical leadership)., • Passionate about enabling engineers to do their best work through coaching, feedback, and career development, including practical mentorship on AI coding tools and when to apply them., • Technically strong in modern web application development (React, Node.js, Ruby, or similar)., • Skilled in building SaaS products at scale, with a focus on quality, security, and performance., • An excellent communicator, able to work cross-functionally with Product, Design, Customer Success, and Sales., • Excited to work in a fast-paced, growth-stage startup environment., • Fluent in AI-assisted development. You use tools like Cursor, GitHub Copilot, or similar regularly in your own work, apply a deliberate review process before relying on AI output, and are ready to help engineers on your team develop the same habits.Qualifications:, • 10+ years of professional software engineering experience., • 3+ years of experience as an Engineering Manager, Tech Lead, or equivalent leadership role., • BS in Computer Science, Software Engineering, or equivalent experience., • You have experience scaling teams in a startup or growth-stage environment., • Track record of delivering enterprise SaaS products, ideally in B2B or FinTech/PropTech., • Strong organizational skills with the ability to balance technical depth and business impact., • Consistent, hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude, or similar). Uses AI regularly across engineering tasks, validates output before shipping, and can coach engineers to build the same disciplined habits.The Perks & Culture:, • Medical, dental, & vision insurance coverage, • Hybrid 3-days in office policy in SF, • Flexible Spending Account, • Paid Parental Leave, • 401(k), • Company-sponsored commuter benefits, • Flexible time off policy, • Catered lunches and snacks, • Monthly wellness reimbursement, • The estimated pay range for California candidates for this position is $200,000 – $230,000 base., • This position is also eligible for Dealpath's equity plan. Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process., • Your actual compensation will be confirmed in writing at the time of offer., • Dealpath's compensation ranges are determined by current market data, so compensation data posted on our job posts may change as new market data becomes available. About Dealpath Dealpath is the world's largest and most trusted AI-powered operating system for real estate investing. To date, the platform has powered more than $10 trillion in transactions, partnering with hundreds of firms, including leading global institutions such as Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, New York Life, UBS, Manulife, DWS, and Principal. By bringing together the only private exchange for institutional real estate listings, investment data, and intelligent execution workflows into a single platform, Dealpath enables firms to capture more opportunities, make faster decisions, execute efficiently, and deliver superior returns. Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital. We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture — we'd love to meet you! Interview Process Notice Dealpath conducts interviews via video conference. To support our interviewers with accurate note-taking, we may use AI-assisted transcription tools during your interview sessions. By participating in the interview process, you acknowledge that interviews may be recorded or transcribed using these tools for note-taking purposes only. Transcripts are used solely for internal evaluation and are not shared outside of the hiring team.

Job DescriptionWhy Join AngelList We’re solving some of the hardest problems in venture capital and private markets. You’ll work with a team that values precision, urgency, and long-term thinking. If you want to shape how startups are funded and built, this is the place. About AngelList We exist to accelerate innovation by increasing the number of successful startups in the world. We do this by building the financial infrastructure that makes it easier for more people to invest in world-changing companies. AngelList is the nexus of venture capital and the startup community. We support $171B+ in assets and have powered investments into over 13,000 startups—over 300 of which are unicorns. Today, 57% of top-tier U.S. VC deals involve investors on AngelList. While our scale is large, our ambition is larger. If you're excited to build the future of private markets, come build with us. About the Role The Funds team is the layer between AngelList's back office and the General Partners who run their funds through us: their dashboard, our support automations, and an emerging AI/MCP layer that lets GPs have total autonomy over their funds. From there, our goal is to support $1T in private assets, enabling automation so VCs can focus on investing in the next generation of startups. We serve GPs across 20,000+ active vehicles. Full Service is our flagship — wide, deep, mature. Institutional is a brand new and infinitely customizable offering, with a lot of work ahead in layering in automation. We took it from zero to one this year and we’re already showing strong growth ($2B+ in signed investment capital volume in 6 months). The two are run as separate teams today, deliberately, because they're at very different stages. You'll manage both teams, shape their growth, and determine the opportunities to consolidate their product surfaces. What you'll do • Own outcomes for both Full Service and Institutional teams, • Manage a team of 7+ engineers across both segments, adapting your approach to each team's stage, • Build toward one unified Funds experience over time, even while the teams stay structurally distinct, and lead the combined product, • Partner closely with the accounting, tax, and customer relations teams that sit behind us to keep the whole platform coherent; along with Product + Design to build delightful user experiencesYou Have, • Startup experience — you're comfortable with ambiguity, and know how to build process without over-building it, • 2+ years of experience in engineering management, hiring and growing senior engineering talent. Bonus points for experience managing multiple teams at different stages of maturity, • A track record of shipping customer-facing product, • Experience building in a high compliance, high stakes environment, where every penny countsHow Success Will Be Measured, • Invested capital grows from $22B to $100B within the next three years., • GPs experience Funds as one coherent product, not two, even while the underlying teams stay separate. Our PSAT climbs from 4.1 to 5.0, and customer inquiries decrease 80% due to self-service, • Both teams are healthy, growing, and clear on their roadmaps — not just correctly drawn on an org chartWorking Here If you don’t meet every requirement above, we still encourage you to apply. We value complementary strengths and operators who learn by doing. AngelList has offices in a few cities, with our engineering hub in San Francisco. We’re building our engineering and product teams around this hub to make the most of in-person collaboration. We have a hybrid in-office model: teammates come in at least 2 days per week (Tuesdays and either Wednesday or Thursday). Compensation: The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $240,000+ annually but actual will vary based on a number of factors including a candidate’s professional background, experience, and location. Additional details about our Total Rewards package will be provided during the recruitment process. Benefits: We support your life both in and outside of work. Explore our benefits Learn about Funders & Founders What Guides Us: At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape what we work on and how we create impact. If the below resonate, we'd love to have you with us. Our beliefs Our values & leadership expectations AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout AngelList Private markets are the new public markets. The most important companies of this era are private, and almost no one can own them. What's missing is the financial system public markets spent a century building: exchanges, custodians, brokers, and ways for ordinary people to buy in. Private markets, now $28T, never had the equivalent. AngelList is building it. The last decade of structural innovation in venture happened here: syndicates, SPVs at scale, Rolling Funds, scout programs. Today we have $200B+ in assets and 30,000+ startups funded on our platform. The rest of private markets is next. Funds is the software and services behind private funds, Nova is the banking network, Meridian is the wealth platform for accredited investors, and USVC is the brand behind a registered fund that lets anyone invest in venture. Working here means an unusual amount of agency on a problem that matters. Titles are closer to suggestions, and there are about 200 of us building what private markets never had. Come build it with us. About the Role: Nova is building the banking and payments network for private markets. Fund managers, fund administrators, and investors use our software to manage subscriptions, capital calls, and distributions. Nova currently supports $1.2B+ in deposits, $100M+ in weekly transfers across six bank integrations, and ~150k verified investors. These transactions are among the highest-stakes moments in private markets. Customers move real money and expect every detail to be correct. Consistent accuracy is how Nova earns and keeps the trust of GPs and LPs. If you're a Senior Software Engineer who wants direct product impact, Nova Product gives you the opportunity to own high-stakes customer workflows end to end. The team builds domain-specific workflows on top of our money-movement and identity systems, including distributions, capital calls, digital subscriptions, data rooms, and the emerging LP wallet and investor portal. You'll take difficult workflows from an ambiguous problem through launch and operation. The team will rely on you to get the details right because one incorrect number or failed payment can erode customer trust. What You'll Do • Design, build, and ship complex workflows for distributions and capital calls, subscriptions, data rooms, and the LP wallet and portal. You'll own meaningful parts of this work end to end., • Take difficult problems from design through release and operation. You'll handle the edge cases and the long tail, not just the initial launch., • Build for correctness, resilience, and strong UX where real money and investor trust are at stake. Help catch predictable failures before they reach customers., • Model complex business domains and build maintainable systems and abstractions that your teammates can extend., • Improve the team's work through thoughtful code reviews and design feedback, and mentor other engineers., • Work with Product/Design and the Foundations teams to integrate product features cleanly with their money-movement and identity systems.What We're Looking For, • 3+ years building backend or full-stack web applications, including meaningful experience with complex, quality-critical products where correctness matters to users., • Senior-level impact. You've owned significant features or systems from an ambiguous problem through launch and operation, and your team relies on you to get difficult work right in your area., • A record of shipping sophisticated product surfaces and improving their reliability and quality., • Strong architecture and data-modeling skills. You can model complex, evolving business domains and keep systems maintainable as they grow., • Fluency in a modern TypeScript stack, or clear evidence that you'll ramp quickly. You're comfortable with a GraphQL API, PostgreSQL, and workflow orchestration with Temporal., • Comfort working in a startup environment. You can handle ambiguity and maintain quality while keeping pace with a lean team that ships quickly.Nice to Have, • Experience in fintech, payments, or another high-stakes domain where correctness and trust are non-negotiable., • A record of taking greenfield product areas from zero to one and scaling mature ones., • Familiarity with event-driven architectures and workflow orchestration, such as Temporal or a similar system., • Experience working with platform or infrastructure teams whose systems your product depends on.How Success Will Be Measured, • The workflows you own across distributions, subscriptions, and capital calls are consistently error-free and increasingly self-service. For example, your work contributes to 95%+ of distributions completing end to end without manual intervention., • You ship meaningful parts of Nova's greenfield payments, wallet, and identity surfaces on a clear, coherent architecture that the team can extend., • Your parts of the product integrate cleanly with Foundations' systems and remain maintainable as they scale., • Your reviews, designs, and mentorship help other engineers make better technical decisions and move faster.Working Here If you don’t meet every requirement above, we still encourage you to apply. We value complementary strengths and operators who learn by doing. AngelList has offices in a few cities, with our engineering hub in San Francisco. We’re building our engineering and product teams around this hub to make the most of in-person collaboration. We have a hybrid in-office model: teammates come in at least 2 days per week (Tuesdays and either Wednesday or Thursday). Compensation: The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $200,000+ annually but actual will vary based on a number of factors including a candidate’s professional background, experience, and location. Additional details about our Total Rewards package will be provided during the recruitment process. Benefits: We support your life both in and outside of work. Explore our benefits Learn about Funders & Founders What Guides Us: At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape what we work on and how we create impact. If the below resonate, we'd love to have you with us. Our beliefs Our values & leadership expectations AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.” Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role At Commure, our Air AI team is building the intelligence layer that lives inside the clinical workflow, that listens, documents, reasons, and acts so clinicians don't have to. You'll work across documentation that transcribes patient visits and structures them into clinical notes in real-time, a conversational clinical assistant grounded in live patient context and medical literature, and an extensible AI Skills Library of reusable agents and workflows that automates clinical tasks across the platform. If you want to build AI that clinicians trust with their most critical work, this is that team. What You'll Do Leverage and build on top of AI/LLM technologies to accelerate product development and deliver intelligent, automated experiences to clinicians and patients Design and influence decisions that shape our fullstack architecture for scalable, AI-powered healthcare solutions Lead or contribute to technical planning for new features, balancing feasibility, clinical usability, and business impact Establish best practices for code quality, testing, deployment, and observability Mentor engineers across the team, raising the bar on design patterns, code standards, and technical thinking Collaborate with product managers, designers, and clinical experts to ship intuitive solutions that work in real clinical environments Be part of a fast-moving team that celebrates large ambition, ships daily, and makes decisions quickly What You Have Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, required Professional software engineering experience, ideally in a high-growth or startup environment Strong fullstack skills — Python on the backend (required), TypeScript/React on the frontend, with working knowledge of containers and cloud (Docker, Kubernetes) Hands-on experience integrating LLM APIs or building AI-powered features in production Track record of driving work from early ideation to successful production deployment Strong debugging and problem-solving skills with a history of demonstrated resourcefulness Strong communication skills — comfortable working with both engineers and non-technical stakeholders including clinical teams Experience in fast-moving environments where shipping quickly is the norm Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $170K - $230K

Job Description Who We Are As featured in TechCrunch, Forbes, and Bloomberg, TomoCredit is at the forefront of Fintech innovation. Headquartered in San Francisco, we're on a mission to revolutionize the credit system and democratize access to banking. It is difficult to build credit if you don't have credit. TomoCredit is trying to solve this chicken-and-egg problem by ditching credit history altogether. We are not a financial services company - we are a data company. The data we get helps us make the credit market more accessible to those new to it. We are tirelessly working on finding new and better ways to help our customers succeed through responsible fiscal behavior and we're looking for people like you to help shape tomorrow at Tomo - help millions build brighter financial futures. The Role We're looking for a rockstar Assistant Controller/Accounting Manager who will be intimately involved in every aspect of the financial function and make a significant impact to our business decisions. You will play a key role in analyzing trends, ensuring the integrity of data, managing the financial needs of the company to scale efficiently and effectively and much more! We are looking for someone who is passionate, detail-oriented, organized and works well both independently and with stakeholders to join our fast-growing team. You will also need to build many of the processes and reporting from scratch since we are a startup. What You'll Be Doing • Maintain full ownership of the general ledger financial close process and related activities to ensure complete and accurate financials in accordance with U.S. GAAP, including managing/reviewing close activities such as journal entries and account reconciliations within the established close timeline, • Work with external auditors and provide needed information for the annual audit., • Oversee the entire accounting, financial reporting, and internal controls functions., • Assist with the capital planning, cash management, budgeting and forecasting process., • Prepare weekly & monthly financial and loan portfolio reports with associated commentary and participate in meetings with stakeholders., • Develop financial models and ad hoc analysis to support strategic decisions., • Manage the vendor contract database to ensure accuracy and validity and work alongside business units to update accordingly., • Perform routine and ad-hoc analysis and suggest creative solutions to reduce costs and improve financial performance., • Manage Bill.com platform and oversee end-to-end processing of vendor bills and payments., • Respond to investor and lender due diligence requests., • Prepare presentations for Senior Management., • Frequently interface with Senior Management as well as other departments. What You'll Need • Minimum of 4 years of pertinent finance/accounting experience required, with a focus on general ledger accounting. Proficiency in independently closing financial books is essential., • Bachelor’s degree in Accounting, Finance, or related field, • Organized and able to efficiently prioritize, multi-task, and adapt in a fast-paced, often ambiguous environment; ability to meet deadlines, • Detail-oriented, but capable of seeing the big picture, • Experience with Quickbooks and external audit, • Advanced proficiency in financial modeling, Microsoft Excel, and PowerPoint; Experience in SQL and Looker is a plus, • CPA certification is a plus, but not required., • Strong interpersonal and communication skills Why TomoCredit? Make a huge impact on the future of credit. Be mentored by some of the most seasoned FinTech executives from Square, Lending Club, and American Express, or build your own path. We want people to build their career here because they love the people they work with. Help contribute and build a strong culture because that’s what we care about. That’s why we have generous benefits: Salary, Equity, Insurance, Flexible Vacation Policy and Company-sponsored outings are just a few great things Tomo has to offer. We’re also pet friendly! • Competitive Salary, • Insurance: Medical, Dental and Vision benefits., • Equity: We're growing rapidly, and we want to share our future success/ financial upside with you. We offer an above-average ownership stake in TomoCredit for all employees., • Flexible vacation policy. We trust that you know how to manage your time wisely so you can finish your work on time without burnout. Within that trust, we offer a flexible vacation policy., • Company-sponsored outings. This is the best outlet to get to know each other outside work. Come join us! Diversity is important to us so all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. Powered by JazzHR WwfKuZbnS5

Job Description About the company Our client is a venture-backed, revenue-generating enterprise AI company building and deploying autonomous agents inside some of the world's largest organizations. Its team includes alumni of Meta, AWS, Citadel Securities, McKinsey, BCG, and Stanford. The company has raised $3.7 million, is already in production with Fortune 500 customers, and is building the operating platform that makes enterprise agents dependable in real-world environments. About the role We are hiring a Software Engineer to build the core platform used to create, monitor, optimize, and deploy autonomous agents. This is a high-ownership role spanning backend engineering, product thinking, enterprise deployment, and hands-on client implementations. You will work onsite in San Francisco's Financial District five to six days per week. What you will do • Build and own core components of the platform that runs client AI agents, • Develop production agent implementations and manage deployment and operation, • Design product-level features while implementing robust backend systems, • Package, version, and deploy software into single-tenant and customer-controlled cloud environments, • Make durable architecture decisions across workflow orchestration, infrastructure, and agent reliability, • Identify important problems independently and drive them through production Requirements What we are looking for • Three to five years of backend software engineering experience, • Production experience building AI agents or LLM-based systems used by real customers, • At least two years in an early-stage startup or another high-ambiguity, high-ownership environment, • Strong TypeScript skills and practical familiarity with agent frameworks, • Experience with Kubernetes, cloud infrastructure, containers, and production scaling, • Experience deploying into BYOC, single-tenant, or on-premise environments, • Knowledge of durable execution or workflow orchestration, • A computer science or other technical degree, • High energy, ambition, autonomy, and concise communication Nice to have • Experience with Temporal, AWS Bedrock, Google Vertex AI, Mastra, or the Vercel AI SDK, • Familiarity with both AWS and Google Cloud Platform, • Direct experience improving agent reliability in production, • Experience shipping enterprise software into Fortune 500 environments Benefits • $100,000 to $210,000, plus competitive equity in a company valued above $2B, • 100% covered medical, dental, and vision, • Unlimited PTO, • All meals provided in the office, • Relocation package, • Commuter benefit• Base salary of $180,000 to $250,000, • Equity of approximately 0.1% to 0.5%, • Flexible paid time off, • Free lunch and dinner in the office, • Rides home for late nights and monthly team events, • Visa transfers, including OPT and H-1B, may be considered for qualified candidates

Job Description Our client is a fast-growing AI finance startup seeking a Chief of Staff to work directly with both founders daily, owning recruiting, sales ops, GTM experimentation, and internal execution across every function. This is an early-career, high-slope role for someone who is exceptionally organized, moves fast, and is eager to break into the startup world, with a clear path to growing into a senior operator as the company scales. What You'll Do: • Manage hiring and recruiting operations: sourcing, interviewing, and tracking candidates as the team scales, • Own pilot success for sales engagements: sit in on client calls, project manage proof-of-value steps, and ensure clients have a seamless experience, • Drive GTM experimentation: identify which channels are working, optimize outbound email and ad campaigns using AI tools, and double down on what's performing, • Work directly with both founders daily across recruiting, customer follow-up, sales ops, investor relations, and internal execution, • Make decisions autonomously while executing on founder priorities with speed and precision, • Leverage AI tools extensively (Claude, ChatGPT, Claude Code, and Codex) to automate and accelerate operations Key Requirements: • 1-4 years of post-grad experience; sweet spot is 1-2 years out with high slope, • MBB consulting strongly preferred; banking or PE analyst program also a strong fit, • Early-stage startup Chief of Staff, BizOps, or Strategy & Ops experience considered, • Hands-on daily use of AI tools; must be able to speak to what they've automated or built, • Project management and implementation experience; ran workstreams end-to-end, • Strong school pedigree; top-20 or Stanford/Harvard tier preferred, • Ability to use or interest in learning Claude Code and Codex Job Reference: 63RRR73R Package Details: Salary & equity between 0.1% to 0.5% Visa sponsorship: No visa sponsorship outside of OPT

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. About the Role We're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment. What You'll Do Contribute to the development of novel machine learning techniques for visual generative modeling Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers) Help optimize model performance and scaling capabilities Assist in ensuring safe and robust model deployment Collaborate with cross-functional teams to integrate research innovations Participate in research discussions and contribute to technical documentation Required Qualifications BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome) 2+ years of experience in Machine Learning Strong foundation in machine learning, particularly generative models Solid programming skills in Python and PyTorch/TensorFlow Experience with deep learning frameworks and model training Understanding of fundamental concepts in computer vision and generative AI Project experience (academic or personal) with generative models Clear communication skills and ability to work in a research team Preferred Qualifications Research projects or thesis work in generative AI Experience with different types of generative models: Diffusion Models GANs Transformer architectures Large Language Models Familiarity with distributed computing and GPU optimization Contributions to open-source ML projects Academic publications or workshop papers Experience with ML infrastructure and deployment This position is onsite at our San Francisco office (4–5 days per week). We are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job DescriptionAbout SuperAnnotate SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025. The Impact You'll Make We’re looking for a skilled, technical operator who can take full ownership of our most complex, high-value client engagements. As a Strategic Projects Lead, you’ll run the end-to-end delivery of SuperAnnotate’s largest LLM and Gen AI data programs. This includes everything from scoping data collection workflows with key clients, acting as a trusted resource to researchers, diagnosing data quality issues, and reallocating resources under a tight deadline. The role touches everything: strategy, execution, client relationships, team development, and process design. You’ll work directly with researchers, data teams, and other key stakeholders at some of the most advanced AI organizations in the world. You'll be trusted to represent SuperAnnotate at the highest level, including on technical tradeoffs, and to grow those relationships through execution and management excellence. You don't need to be building models, but you do need to be technical enough to understand how they're trained, evaluated, and improved. That means hands-on comfort with data, code, and pipelines, and the ability to engage credibly with client engineering and research teams on LLM data challenges and evaluation approaches. This is a full-time, hybrid position based in San Francisco. What You'll Do • Own project delivery end-to-end: Lead LLM and Gen AI data engagements from initial scoping through final delivery - including use case definition, resource planning, quality oversight, and client sign-off. The project succeeds or fails on your watch., • Be the client’s main point of contact: Build and maintain trusted relationships with key stakeholders. Bring transparency, good judgment, and a solutions orientation to every interaction., • Drive operational discipline across workstreams: Manage timelines, staffing plans, and delivery quality across multiple concurrent projects. Catch problems before they become crises and fix them before they reach the client., • Design and build the systems that make delivery possible: Architect data pipelines, quality frameworks, and review infrastructure that let your team execute at scale. Instrument the right KPIs, catch regressions early, and continuously refine processes as program needs evolve., • Lead and develop your team: Recruit, mentor, and performance-manage the operations and subject matter experts. Set the bar, support the people, and build toward a team that can scale., • Identify scope expansion opportunities: Partner with Go-to-Market to turn strong delivery into expanded engagements. Understand your clients’ broader AI data challenges well enough to propose what’s next., • Keep leadership and clients informed: Develop reporting cadences and executive briefings that give an honest, clear picture of project health, risks, and outcomes.What You'll Bring 4+ years of experience running complex technical projects or operations in client-facing roles, with at least some of that time in a high-growth startup environment. A track record of owning outcomes: You’ve managed cross-functional workstreams with real accountability - and you can point to what you delivered and how. Coding ability and analytical depth: You have solid coding skills (Python, SQL, or similar) alongside depth in machine learning, statistics, or data science. Strong senior stakeholder communication: You’re comfortable in a room with a CTO or VP and can represent a complex project clearly, confidently, and honestly. Sharp operational problem-solving: You diagnose issues structurally, propose solutions with clear tradeoffs, and move quickly from analysis to action. Financial and resource fluency: You understand project margins, can build resource plans, and think about the business impact of operational decisions. A working knowledge of the Gen AI landscape: Familiarity with how LLMs are trained and evaluated, and what drives data quality at each stage, so you can guide your team’s approach and speak knowledgeably with client research teams. Bachelor's degree or higher in Statistics, Data Science, Machine Learning, Computer Science, Mathematics, Engineering, or a related quantitative field. CS, Math, and Engineering degrees should include meaningful ML or applied data science exposure. Nice to Have • Experience building or managing large distributed contributor or expert workforces. Background in management consulting, investment banking, or data-intensive technical services. MBA or equivalent advanced degree. In addition to the annual base salary, employees are eligible for an annual bonus paid out quarterly. Why SuperAnnotate This role sits at the center of what SuperAnnotate does and what the AI industry needs most right now. You’ll work on problems that matter, with clients who are building the systems that will define the next decade of AI. You’ll have real ownership, real visibility, and a direct line to leadership. Only shortlisted candidates will be contacted for an interview! Equal Opportunity We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.