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Job Description * This role is based in San Francisco, CA - Office days are Tue, Wed, and Thur * Who We Are We're building the future of real estate — today. HomeLight is the real estate technology platform powering innovative transactions for top agents, lenders, and their clients. Our technology makes it easier to buy and sell homes, whether that's enabling clients to buy before they sell, find a top agent, or have certainty through a modern closing process. Each year, HomeLight facilitates billions of dollars of residential real estate business on its platform for thousands of agents and loan officers. Our vision is a world where every real estate transaction is simple, certain, and satisfying for all. Our team breaks barriers every day while staying committed to HomeLight's goals and core values, which is a crucial element to our shared success. Who You Are We're looking for an intellectually curious and highly adaptable Product Manager to lead key initiatives at HomeLight focused on agent experience, consumer engagement, and AI innovation. In this role, you'll work on both sides of our platform—building internal tools to empower real estate agents and optimizing the consumer journey to drive engagement and conversion. You'll shape both the consumer and agent-facing sides of a platform used across thousands of real estate transactions. You'll collaborate with humble, high-caliber teammates who care deeply about users and outcomes. And you'll work on meaningful, high-visibility projects that directly impact revenue and experience. You'll lead fast-paced product development across AI-driven coaching, nurture tools, and website conversion funnels. Your work will directly influence how consumers discover, engage, and transact on our platform, while helping agents operate more efficiently and effectively. What You'll Do • Own the roadmap for AI-powered agent enablement tools and consumer-facing product experiences., • Improve agent performance with internal tools for coaching, follow-up, and lead nurture., • Drive consumer conversion across key website pages and user flows using A/B testing, funnel optimization, and insights from behavioral data., • Collaborate cross-functionally with engineering, design, customer success, marketing, and analytics to ship high-impact product experiences., • Identify pain points in the client journey and develop solutions that improve communication and collaboration between agents, consumers, and partners., • Leverage experimentation, user research, and data to iterate quickly and validate assumptions., • Contribute to the ongoing evolution of our business model by identifying new opportunities for product differentiation and growth. What We're Looking For • 3-5 years of product management experience, ideally in high-growth tech or SaaS environments., • Strong product instincts, fast thinking, and a bias for action., • Comfortable working in ambiguity and iterating quickly in response to feedback., • Coachable with intellectual humility and a collaborative mindset., • Experience optimizing conversion funnels, leading A/B tests, or improving digital consumer journeys., • Passion for AI and its practical applications—prior AI experience is a plus, but not required., • Excellent communication and stakeholder management skills.Benefits and Perks, • Medical (Aetna or Kaiser), Dental & Vision (Guardian), • Long-Term Disability & Short-Term Disability, • Hospital Indemnity Insurance, Accident Plan, and Employee Critical Illness (Guardian), • 401k (Vestwell), Life Insurance (Guardian) & Pet Insurance (Nationwide), • Commuter benefits are offered in certain locations, • PTO, including Volunteer Days to give back to your community, • Annual Anniversary Perks, including one month paid sabbaticals!, • HomeLight Services to help you with buying and selling your home The following compensation information is provided to comply with job posting disclosure requirements in Colorado, New York, Washington, and California. Base Pay Range: $140,000.00 - $160,000.00, base pay will vary depending on several factors, such as the position, location, qualifications of the individual, market conditions, and other operational business requirements. Range is dependent on the leveling process during the interview process. Let's chat! HomeLight is an equal opportunity employer dedicated to building an inclusive and diverse workforce, providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will provide accommodations during the recruitment process upon request and any accommodation will be addressed confidentially.

Job Description * This role is based in San Francisco, CA - Office days are Tue to Thur * We are open to hiring a Growth Manager, Sr. Growth Manager, or Lead Growth Manager. Who We Are We're building the future of real estate — today. HomeLight is the real estate technology platform powering innovative transactions for top agents, lenders, and their clients. Our technology makes it easier to buy and sell homes, whether that's enabling clients to buy before they sell, find a top agent, or have certainty through a modern closing process. Each year, HomeLight facilitates billions of dollars of residential real estate business on its platform for thousands of agents and loan officers. Our vision is a world where every real estate transaction is simple, certain, and satisfying for all. Our team breaks barriers every day while staying committed to HomeLight's goals and core values, which is a crucial element to our shared success. Who You Are You're a growth operator who likes to build. You don't just identify opportunities or create strategies — you turn ideas into working things. Maybe you've built a website or landing experience, created an internal tool, prototyped a product, developed a new workflow, or used AI to build something that previously would have required significantly more time or resources. You're deeply curious about what new technology makes possible and constantly experimenting. AI isn't just something you use to write copy or summarize reports — it's expanding what you're personally able to create. You also understand growth and acquisition, with hands-on experience across paid search and paid social. You know how customers are acquired, how funnels work, and how to use data to diagnose performance across CAC, ROAS, conversion, and other key growth metrics. Most importantly, you see a problem and want to build the solution. What You'll Do • Identify growth opportunities and turn them into experiments, tools, workflows, and customer experiences, • Build, test, and optimize acquisition strategies across paid search and paid social, including Google and Meta, • Own and improve key growth metrics, including CAC, ROAS, conversion, and funnel performance, • Build and test landing experiences, audiences, messaging, creative, and new growth ideas, • Use AI and emerging technologies to prototype, automate, and launch ideas faster, • Analyze customer and performance data to understand what's working, what's broken, and what to build next, • Build systems and workflows that replace manual processes and make the growth organization more effective, • Partner with Product, Engineering, Data, and Creative when needed — while maintaining a bias toward building and testing yourselfWhat We're Looking For, • 5+ years of experience in growth, acquisition, performance marketing, advertising, product growth, or a related field, • Evidence that you've personally built things — websites, prototypes, products, workflows, internal tools, reporting systems, or other working solutions, • Hands-on experience with paid search and paid social, particularly Google Ads and Meta, • Strong understanding of CAC, ROAS, conversion optimization, funnel performance, and growth measurement, • Strong analytical instincts and comfort using data to diagnose problems and make decisions, • Demonstrated use of AI to build or create — beyond basic copywriting, research, or reporting, • A track record of taking ideas from problem → prototype → test → iteration, • Curiosity about emerging technology and a habit of experimenting with new tools, • Comfort operating outside your traditional area of expertise and learning quickly, • A bias toward direct execution rather than relying entirely on agencies, vendors, or other team Benefits and Perks • Medical (Aetna or Kaiser), Dental & Vision (Guardian), • Long-Term Disability & Short-Term Disability, • Hospital Indemnity Insurance, Accident Plan, and Employee Critical Illness (Guardian), • 401k (Vestwell), Life Insurance (Guardian) & Pet Insurance (Nationwide), • Commuter benefits are offered in certain locations, • PTO, including Volunteer Days to give back to your community, • Annual Anniversary Perks, including one month paid sabbaticals!, • HomeLight Services to help you with buying and selling your home The following compensation information is provided to comply with job posting disclosure requirements in Colorado, New York, Washington, and California. Base Pay Range: $140,000.00 - $190,000.00, base pay will vary depending on several factors, such as the position, location, qualifications of the individual, market conditions, and other operational business requirements.Range is dependent on the leveling process during the interview process. Let's chat! HomeLight is an equal opportunity employer dedicated to building an inclusive and diverse workforce, providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will provide accommodations during the recruitment process upon request, and any accommodation will be addressed confidentially.

Job Description Location: Waltham, MA or Palo Alto, CA (hybrid) ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you'll find ERGO NEXT. Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow — that's where you come in. We're inviting an experienced and strategic Insurance Product Manager to join our Casualty team. This is a highly visible and cross-functional position focused on delivering and managing best-in-class products across a broad range of business classes. You will shape appetite, pricing, and underwriting rules, and play a key role in helping NEXT expand its platform to serve more complex small businesses. If you get excited about understanding & redesigning pricing, love thinking about risk, and want to work on initiatives that will have a real impact on the industry and the customer - we'd love to talk to you! What You'll Do: • Own ongoing management of our commercial Casualty products, including coverage, pricing, underwriting logic, segmentation, and regulatory compliance., • Execute pricing and underwriting improvements by refining appetite, rating plans, forms, and risk selection based on loss drivers and portfolio performance., • Partner with Engineering and Technical Product to translate business priorities into shipped product and pricing changes., • Support product filings, working with Actuarial and Compliance to bring updates to market., • Analyze product and portfolio performance, identify improvement opportunities, and drive measurable impact on growth and loss ratio., • Conduct competitive and market research, incorporating customer and agent feedback into actionable product enhancements., • Partner cross-functionally with Actuarial, Data Science, Claims, Legal, and Operations to align execution with underwriting and profitability goals., • Communicate product updates and performance clearly to leadership and key internal and external stakeholders. What We Need: • 5+ years of Commercial General Liability insurance and/or BOP product management, underwriting, actuarial, or risk management; Excess Casualty experience is a major plus., • Proven experience in using data driven methods in decision making and strong analysis skills, • Experience optimizing and pricing casualty products using data, modeling, and loss ratio analysis, • Comfortable with ambiguity, creative in building solutions, and rigorous in execution, • Clear, structured communication skills for both technical and non-technical leadership audiences, • Highly organized and capable of managing multiple workstreams across multiple functions, • BA/BS degree; advanced degree (MBA, MS) or insurance certifications (e.g., CPCU) are a plus The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more. US annual base salary range for this full-time position: Waltham, MA: $127,000 - $171,000 Palo Alto, CA: $141,000 - $191,000 Note on Fraudulent RecruitingWe have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job DescriptionAbout the Role This is a founding-level role at a seed-stage B2B SaaS startup in the pricing intelligence space. You will own the entire frontend design system, component library, and UI coherence layer across a product that ships fast with both human engineers and AI coding agents. This role is the sole bar-raiser for frontend quality and UX standards across the company. What You'll Do Define and maintain the design token system, component library, and frontend patterns that keep every shipped interface feeling like one cohesive product. Enforce frontend standards so that agent-written and human-written pull requests land consistently by default, using React Query, React Hook Form, and Zod. Own frontend tooling and quality, including Biome configuration, Playwright end-to-end coverage, and frontend performance. Translate design intent into component abstractions and lint rules to preserve coherence at scale. Build and iterate on conversational and AI-native interface patterns, including streaming responses and generative views. Integrate AI coding tools into the frontend workflow to accelerate delivery without sacrificing polish. Contribute to constrained UI surfaces such as chat-based or CLI-style interfaces where applicable. What We're Looking For 5 or more years building and shipping polished product interfaces, with a strong portfolio demonstrating that quality. Deep expertise in React, strict TypeScript, and Tailwind CSS, with hands-on experience with component primitives such as shadcn/ui and Radix UI. Prior ownership of a design system or component library in production, demonstrated through a public repo, portfolio, or detailed walkthrough. Experience defining and enforcing frontend patterns across a team, including with AI-assisted coding tools such as Claude Code or Cursor. A hands-on design/UX engineer mindset, not a product designer role. Familiarity with animation and UI state transitions (e.g., Framer Motion) to enhance perceived speed and polish is a strong plus. Experience building conversational interfaces or chatbots for B2B users is a plus. Experience with constrained UI spaces such as Slack Block Kit or Microsoft Teams Adaptive Cards is a plus. Authorized to work in the United States without visa sponsorship. Compensation & Benefits Base salary range: $180,000 to $220,000 USD annually. Equity participation is expected at this founding-team level. No visa sponsorship is available. Location On-site in San Francisco, California, five days per week. Candidates must be based in San Francisco or willing and able to relocate.

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Opportunity Mindbody is seeking a Principal Product Manager, Agentic Experience to define how AI transforms the way businesses use our industry-leading B2B software platform. This role will own the vision, strategy, and execution for incorporating agentic workflows into Mindbody's business experience. Your mandate spans both sides of the opportunity: envisioning an AI-first user experience that meaningfully improves how customers operate their businesses, and establishing the underlying platform capabilities that allow Mindbody teams to build reliable agentic workflows quickly, safely, and at scale. This is not a role focused on adding isolated AI features or conversational interfaces to existing workflows. You will determine where agents can fundamentally simplify work, coordinate actions across the platform, and help customers achieve outcomes with less effort. You will also define the quality, evaluation, trust, and governance systems necessary to make non-deterministic products dependable in real business environments. As a Principal Product Manager, you will operate as a senior individual contributor and organizational leader. You will level up Mindbody's thinking about applied AI, align teams around a cohesive strategy, and create the platform and product patterns that shape one of the most important components of Mindbody's next evolution. The Role You'll PlayDefine Mindbody's agentic product strategy • Establish a compelling vision for an AI-first B2B user experience across Mindbody's platform., • Develop and own the product strategy and roadmap for agentic experiences and their enabling platform capabilities., • Identify the workflows where agentic systems can create meaningful customer and business value—not merely add novelty or incremental convenience., • Determine the appropriate interaction models for agents, including proactive assistance, workflow orchestration, recommendations, approvals, and autonomous actions., • Translate rapidly evolving AI capabilities into durable product strategy grounded in customer needs, technical feasibility, economics, and risk., • Define clear boundaries between deterministic software, AI-assisted experiences, and agent-led workflows.Build trusted agentic experiences, • Lead the development of agentic workflows designed specifically for B2B users and their operational needs., • Create experiences that make agent reasoning, proposed actions, uncertainty, and outcomes understandable to users., • Define when agents should act autonomously, request approval, escalate to a person, or decline to act., • Ensure agentic workflows respect permissions, business rules, data boundaries, and customer-specific context., • Design for user trust and control through confirmation patterns, reversibility, auditability, and effective recovery from errors., • Partner with Design and Research to establish reusable interaction patterns for AI-first experiences across Mindbody.Establish the enabling AI platform, • Define the product requirements for a shared platform that enables teams to create, test, deploy, observe, and improve agentic workflows efficiently., • Partner deeply with Engineering, Architecture, Data, Security, and Privacy to develop scalable capabilities for model access, orchestration, tool use, context management, permissions, observability, and governance., • Establish reusable primitives and product patterns that accelerate delivery while maintaining consistent standards for quality and safety., • Make thoughtful build, buy, and partner decisions in a fast-moving technology ecosystem., • Define an adoption strategy that makes the platform valuable and practical for product and engineering teams across Mindbody., • Balance experimentation with the architectural discipline required to support production-grade B2B software at scale.Create rigorous evaluation and quality systems, • Define quality standards for non-deterministic products and establish how those standards will be measured., • Build an evaluation strategy spanning offline evaluations, production monitoring, human review, experimentation, and customer feedback., • Develop representative test sets and evaluation criteria for task completion, correctness, groundedness, tool selection, policy adherence, latency, cost, and user trust., • Establish release criteria and ongoing monitoring for workflows whose behavior cannot be validated through traditional deterministic testing alone., • Create feedback loops that convert production signals and failure modes into measurable product improvements., • Partner with technical teams to address hallucinations, model drift, prompt and workflow regressions, ambiguous intent, and failures across multi-step tasks.Lead across the organization, • Serve as a company-wide thought leader on agentic products and applied AI., • Align executives, product leaders, and technical teams around a shared vision, investment strategy, and operating model., • Influence roadmaps across organizational boundaries and drive adoption of shared AI capabilities and standards., • Coach product teams on agentic product discovery, workflow selection, evaluation, and responsible delivery., • Communicate complex technical concepts, uncertainties, and tradeoffs clearly to technical and nontechnical audiences., • Engage directly with customers to understand their workflows, trust thresholds, and readiness for different levels of AI assistance and autonomy., • Create momentum while maintaining a high bar for customer value, reliability, security, and responsible use.The Experience You Bring, • 9-12 years of product management experience, including strategic leadership of complex platform or cross-product initiatives., • Hands-on product leadership experience taking LLM-powered or agentic systems from concept to production., • Experience designing agentic user experiences or workflows for B2B users, including workflows that reason over context, use tools, coordinate multiple steps, or take actions on a user's behalf., • Deep understanding of the distinct product challenges posed by non-deterministic systems., • Demonstrated experience establishing evaluation and quality systems for production AI products, including offline and online evaluation methods., • Strong working knowledge of modern agentic system concepts such as orchestration, retrieval, tool calling, context management, structured outputs, guardrails, observability, and human-in-the-loop controls., • Experience building platform capabilities used by multiple product and engineering teams., • A track record of driving platform adoption and influencing roadmaps across teams without relying on direct authority., • Significant B2B SaaS experience and an understanding of the reliability, permissions, security, auditability, and change-management expectations of business customers., • Ability to connect technical platform decisions to user experience, product outcomes, and business strategy., • Strong judgment regarding the appropriate balance among autonomy, user control, reliability, speed, cost, and risk., • Executive-level communication skills and the ability to create clarity in a technically complex, rapidly changing space.What Will Set You Apart, • You have launched and scaled production agents that take consequential actions inside complex B2B workflows—not only copilots, chat interfaces, or content-generation features., • You have owned an AI platform, agent development framework, or shared set of capabilities adopted by multiple product teams., • You have developed evaluation systems that meaningfully predicted production quality and informed release decisions., • You understand how to evaluate end-to-end agent performance, including planning, tool selection, task completion, policy compliance, and recovery from failure., • You have designed AI experiences for users operating complex businesses, where mistakes can affect customers, schedules, communications, payments, or revenue., • You have evolved an established B2B SaaS product toward an AI-first experience while respecting existing workflows, customer trust, and platform constraints., • You can distinguish between compelling demonstrations and durable products—and know what it takes to close the gap between them., • You remain current on the AI ecosystem while avoiding strategy driven by hype, individual models, or short-lived implementation patterns. Pay Transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $180,000 to $242,000. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job Description Who We Are: We're building the future of real estate — today. HomeLight is the essential technology platform used by hundreds of thousands of homebuyers and sellers to partner with top real estate agents and win at any step of the real estate journey, whether that's finding a top agent, securing a competitive mortgage, or ensuring an on-time, easy close. HomeLight facilitates billions of dollars of real estate on its platform every year. Our vision is a world where every real estate transaction is simple, certain, and satisfying for all. Our team breaks barriers every day while staying committed to HomeLight's goals and core values, which is a crucial element to our shared success. Who You Are: We're looking for a product-minded, AI-native engineer who doesn't just ship features — but builds intelligent systems. AI is not an add-on here; it's embedded into how we design, build, and scale. If you actively leverage AI to move faster, think in systems, and enjoy operating in ambiguity — this role is for you. What You'll Do Here • Collaborate closely with engineers, product managers, designers, and cross-functional partners to build scalable, AI-powered product experiences., • Design, implement, and maintain highly scalable and performant backend services using Ruby on Rails., • Build modern, responsive frontend applications using React.js (and React Native where applicable)., • Integrate AI-driven capabilities into business workflows (LLM-powered features, intelligent automation, semantic search, copilots, or workflow agents)., • Architect systems that combine traditional service-oriented architecture with AI components (model APIs, orchestration layers, evaluation loops)., • Continuously improve code quality through refactoring, automated testing, system testing, and deployment automation., • Leverage AI development tools responsibly to increase velocity and maintain high-quality standards., • Review code developed by other engineers and provide thoughtful feedback on performance, scalability, security, and maintainability — including AI-generated code., • Maintain a deep understanding of business requirements and partner with stakeholders to design thoughtful, scalable solutions., • Collaborate across marketing, platform, DevOps, data, product, and analytics teams to ensure engineering decisions align with broader company goals., • Use data and experimentation to make informed engineering and product decisions., • Monitor production systems, including AI-driven features, using observability and monitoring tools. What You Bring • 2+ years of professional experience as a software engineer., • 2+ years of production experience with Ruby on Rails., • 2+ years of experience with React.js or React Native., • Hands-on experience integrating or building AI-powered features into business workflows (e.g., LLM integrations, AI-assisted user experiences, automation pipelines)., • Experience designing, building, deploying, operating, and maintaining service-oriented architectures., • Strong experience with relational and non-relational databases., • Experience navigating ambiguous and complex project requirements with ownership and clarity., • Experience with observability and monitoring systems (NewRelic, CloudWatch, Sentry)., • Strong written and verbal English communication skills., • A product mindset with the ability to balance deterministic software systems and probabilistic AI systems. Bonus Points For • Experience building AI copilots, internal productivity tools, or intelligent automation systems., • Familiarity with vector databases, embeddings, semantic search, or AI retrieval patterns., • Exposure to Elasticsearch., • Experience with React Native., • Experience working with Docker and containerized environments., • Familiarity with the Amazon AWS ecosystem., • Experience working in a small, fast-moving team, ideally at a startup., • Contributions to AI-related side projects, prototypes, or open-source initiatives. Why This Role Is Different • AI is embedded in our product strategy and engineering culture., • Engineers are encouraged to experiment, prototype, and rethink workflows through intelligent automation., • You'll help shape how AI is implemented across the organization — not just consume APIs. The following compensation information is provided to comply with job posting disclosure requirements in Colorado, New York, Washington, and California. Base Pay Range: $140,000.00 - $160,000.00. Base pay will vary depending on several factors, such as the position, location, qualifications of the individual, market conditions, and other operational business requirements. Range is dependent on the leveling process during the interview process. Let's chat! HomeLight is an equal opportunity employer dedicated to building an inclusive and diverse workforce, providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will provide accommodations during the recruitment process upon request, and any accommodation will be addressed confidentially.

Job Description Confidential client — a Series B enterprise AI company (51-200 employees) whose AI discovers how work actually happens across teams and applications, structures it into a living Context Graph, and improves it continuously. Strong growth and funding to date. Full-Time, In-person, San Francisco, CA. Experience: 6+ years. Salary: $250,000-$315,000/yr. Visa: H-1B transfers accepted; STEM OPT accepted if 2+ years remaining; O-1 not accepted as a candidate's only path About the Role: Hiring a Staff AI Frontend Engineer who sits at the intersection of product design and frontend engineering. You are an engineer first, but with exceptional design sensibility that elevates everything you build. You will define and implement the look and feel of AI-native workflows, ensuring complex enterprise tools feel as intuitive as the best consumer apps. The product includes a real-time WebRTC-powered companion agent that follows users across their screens, generative dashboards that visualize complex enterprise context graphs, agentic chat that operates the web application directly, and a fundamentally new UI paradigm built around generative AI. You will ship at AI speeds, work directly with a tight founding team, and help define the future of the frontend SDLC. What You'll Own • Architect scalable frontend systems: design reusable component libraries, establish patterns for state management and API integration, optimize bundle sizes, ensure the platform performs beautifully at scale, • Own and ship the primary user-facing features users interact with daily, end-to-end from React components through API integration to production polish, • Bridge AI capabilities with elegant user experiences: partner with product and backend engineers to expose powerful functionality while hiding technical complexity, • Build complex frontend systems, including real-time WebRTC streaming for the companion agent, generative dashboards, and agentic chat that operates the product itself, • Use AI tools to rapidly prototype design concepts in code, bridging gaps between teams with working demos instead of static mocks, • Help define how the team scales code review and SDLC with agents that encode your architectural thinkingRequirements Must-Have, • 6+ years shipping production-grade products. Senior to Staff level., • Mastery of modern web technologies: React, Next.js, TypeScript, Tailwind. You understand the performance consequences of architectural decisions and ship code that's elegant and performant., • AI-native developer. You wield Cursor, Claude Code, v0.dev, Lovable, and comparable tools as extensions of your craft. You ship multiple features per day with AI assistance., • Engineer first, designer by instinct. You discuss Server vs Client Components as fluently as you critique spacing and visual hierarchy., • High agency. You've pushed yourself outside structured environments as a founder, founding engineer, or with significant scope ownership at a real startup., • On the bleeding edge of AI tooling. You can articulate what changed in your stack in the last three months., • Comfortable talking to customers and sales. You shape product through action, not waiting for permission., • Based in SF or willing to relocate immediately. In-person 5 days a week downtown SF.Nice-to-Have, • Prior founder or founding engineer experience, • Real-time WebRTC streaming or video pipeline experience, • Voice AI product experience, • Generative UI or generative dashboard work, • Python backend comfort for occasional cross-stack work, • No CS or Engineering degree required; portfolio, GitHub, and shipping track record matter more Benefits & Perks Equity in addition to competitive cash compensation 100% employer-paid medical, dental, and vision options Paid parental leave $500 annual learning fund $100 monthly wellness fund 401k via Betterment Relocation support to San Francisco Bay Area Pre-tax parking and transit account Daily curated local meals delivered to office Free snacks and drinks Free onsite gym access Secure bike room

Job Description The Company Delight.ai (formerly Sendbird) is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users. We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good. We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes. We had a choice: protect what we built, or reinvent ourselves. We chose reinvention. In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai. The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted. The Product Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered. The Role We're looking for a Sales Development Representative with drive, energy, and a capability for sparking conversations with prospects. You will play a critical role in our sales and marketing team by prospecting, discovering, and expanding business opportunities. You will identify the right customers, qualify them, help nurture the long-term relationship and convert them to real opportunities. We expect you to have the drive to achieve ambitious goals, and yet work with the team to streamline operational excellence. This is a great opportunity if you want a successful career in tech sales. You will gain a lot of experience that will help get you into closing and/or leadership roles. This is an outbound-focused role targeting mid-market/enterprise accounts where you'll be proactively building pipeline from scratch rather than working inbound leads. You might be this person if: • You have the discipline to work with autonomy in a fast-paced environment., • You have accomplished something you're really proud of., • You have a high level of integrity., • You have AI experience around research and personalization., • You love prospecting and speaking to future customers. You need to have: • Prior experience in lead generation, sales and/or marketing., • Passion for understanding and explaining technology., • Exceptional organizational skills and capable of multi-tasking between various tasks., • Excellent communication and writing skills., • Impeccable work ethic and dedication towards customers., • A quick learner with positivity, and a sense of humor., • Tech-savvy and/or previous experience with web and mobile development projects., • Formal AI or SaaS lead generation training at an extremely competitive sales environment., • Experience in digital industries (communities, SaaS, AI, live-streaming, on-demand, e-commerce, gaming, etc)., • Proficient in Salesforce, Salesloft, Linkedin Sales Navigator, LeadIQ, Nooks, Zoominfo (or equivalent tech stack). What you'll actually do: • Collaborate with marketing and sales to build a pipeline for mid-market and/or strategic accounts., • Identify key contacts for target accounts, and firmly build the foundations for sales engagement., • Engage prospects across multiple channels including phone, email, LinkedIn, and more., • Add value by providing the right content for each opportunity, ie. case studies, screencasts, presentations, event invitations., • Manage, track and report sales activities and results using Salesforce. What we offer: We take care of the people who build the future. Here's some of what you can expect when you join Sendbird: • Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents., • Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off., • $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more., • Parental leave for all new parents. Time to be present for the moments that matter most., • 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform., • HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses., • Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you. Pay Transparency For cash compensation, we set standard ranges for all roles based on function, level, and geographic location. To determine our ranges, we use a variety of compensation data benchmarks from similar-stage growth companies. A reasonable estimate of the current annual salary range for this role is $100,000 - $125,000 OTE. This range is specific to the San Francisco Bay market. We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above. Flexible Work Policy We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position. What diversity and inclusion mean to us There is no such thing as a perfect candidate, and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities, and encourage you to apply if this role excites you. About Sendbird Combining omnichannel AI and battle-tested, award-winning communication APIs, Sendbird enables businesses to build AI agents and meaningful customer connections at scale. Trusted by 4,000+ leading apps—including DoorDash, Match Group, Noom, and Yahoo Sports—Sendbird powers over 7 billion conversations every month, offering exceptional reliability, security, and compliance that meet enterprise-level demands. Headquartered in California, Sendbird is backed by ICONIQ, SoftBank, Tiger Global, Y Combinator, and other reputable investors.

Job Description * This role is based in San Francisco, CA - Office days are Tue to Thur * Who We Are We're building the future of real estate — today. HomeLight is the real estate technology platform powering innovative transactions for top agents, lenders, and their clients. Our technology makes it easier to buy and sell homes, whether that's enabling clients to buy before they sell, find a top agent, or have certainty through a modern closing process. Each year, HomeLight facilitates billions of dollars of residential real estate business on its platform for thousands of agents and loan officers. Our vision is a world where every real estate transaction is simple, certain, and satisfying for all. Our team breaks barriers every day while staying committed to HomeLight's goals and core values, which is a crucial element to our shared success. Who You Are You're a growth operator who likes to build. You don't just identify opportunities or create strategies — you turn ideas into working things. Maybe you've built a website or landing experience, created an internal tool, prototyped a product, developed a new workflow, or used AI to build something that previously would have required significantly more time or resources. You're deeply curious about what new technology makes possible and constantly experimenting. AI isn't just something you use to write copy or summarize reports — it's expanding what you're personally able to create. You also understand growth and acquisition, with hands-on experience across paid search and paid social. You know how customers are acquired, how funnels work, and how to use data to diagnose performance across CAC, ROAS, conversion, and other key growth metrics. Most importantly, you see a problem and want to build the solution. What You'll Do • Identify growth opportunities and turn them into experiments, tools, workflows, and customer experiences, • Build, test, and optimize acquisition strategies across paid search and paid social, including Google and Meta, • Own and improve key growth metrics, including CAC, ROAS, conversion, and funnel performance, • Build and test landing experiences, audiences, messaging, creative, and new growth ideas, • Use AI and emerging technologies to prototype, automate, and launch ideas faster, • Analyze customer and performance data to understand what's working, what's broken, and what to build next, • Build systems and workflows that replace manual processes and make the growth organization more effective, • Partner with Product, Engineering, Data, and Creative when needed — while maintaining a bias toward building and testing yourself One thing worth saying upfront This role is hands-on. You'll own these channels and are expected to run them well. This isn't a role where you'll manage a large team, oversee a roster of agencies, or spend most of your time in strategy decks. If you're excited about building things, ownership, and driving results, this role is a great fit. If you're looking to move further away from day-to-day execution, it's probably not the right match. What We're Looking For • 8+ years of experience in growth, acquisition, performance marketing, advertising, product growth, or a related field, • Evidence that you've personally built things — websites, prototypes, products, workflows, internal tools, reporting systems, or other working solutions, • Hands-on experience with paid search and paid social, particularly Google Ads and Meta, • Strong understanding of CAC, ROAS, conversion optimization, funnel performance, and growth measurement, • Strong analytical instincts and comfort using data to diagnose problems and make decisions, • Demonstrated use of AI to build or create — beyond basic copywriting, research, or reporting, • A track record of taking ideas from problem → prototype → test → iteration, • Curiosity about emerging technology and a habit of experimenting with new tools, • Comfort operating outside your traditional area of expertise and learning quickly, • A bias toward direct execution rather than relying entirely on agencies, vendors, or other teams Benefits and Perks • Medical (Aetna or Kaiser), Dental & Vision (Guardian), • Long-Term Disability & Short-Term Disability, • Hospital Indemnity Insurance, Accident Plan, and Employee Critical Illness (Guardian), • 401k (Vestwell), Life Insurance (Guardian) & Pet Insurance (Nationwide), • Commuter benefits are offered in certain locations, • PTO, including Volunteer Days to give back to your community, • Annual Anniversary Perks, including one month paid sabbaticals!, • HomeLight Services to help you with buying and selling your home The following compensation information is provided to comply with job posting disclosure requirements in Colorado, New York, Washington, and California. Base Pay Range: $200,000.00 - $225,000.00, base pay will vary depending on several factors, such as the position, location, qualifications of the individual, market conditions, and other operational business requirements.Range is dependent on the leveling process during the interview process. Let's chat! HomeLight is an equal opportunity employer dedicated to building an inclusive and diverse workforce, providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will provide accommodations during the recruitment process upon request, and any accommodation will be addressed confidentially.

Job Description About Legion Health At Legion Health, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together. The role Hey, I'm Daniel G Wilson, co-founder and CTO at Legion. I studied applied math and CS at Princeton, led the Office Scripts and Power Automate integration at Microsoft, and did deep learning and RL research before that. GitHub: https://github.com/danielgwilson I'm hiring a principal-level engineer to own the hardest systems in our care platform, whole. Not tickets, not a lane inside someone else's architecture: entire problem spaces, from "this is a mess" to "this is done and here's the doc." Here's the honest shape of the job. We run a regulated clinical product (we e-prescribe controlled substances) on an event-driven TypeScript platform, and we ship at unusual velocity with heavy agent leverage. The engineers who have thrived here share one behavior: I hand them a gnarly domain, they disappear into it, and they come back with it working, documented, and theirs. I don’t need to check their work or meddle, because checking isn’t unnecessary. That’s the seat. The people who have struggled here waited for scoped tickets to tell them what to do—but that’s what we have agents for. ✅ What you'll own Real domains, picked together in week one from this list, with written authority over them: The factory spine. Own the question of how we get maximum leverage in the era of agentic engineering. We ship 500–1,000 PRs a month with a lean team. Merge gates, migration safety, canary and rollback on a system where a bad deploy can touch patient care—this all works today. Your job will be to move us towards 10,000 while maintaining quality and rigor. The clinical work spine. Our event-sourced system of record for clinical work (orders, tasks, commands, receipts): the layer that lets AI agents and humans act on patient care with auditability and fail-closed checks. You’ll own the guardrails that ensure agents can safely provide broader and broader components of care. Agent operations in production. LLM agents doing real clinical-adjacent work with tool use, checks, and receipts. You decide how autonomy expands and ratchets upwards as proof accumulates. Your agent harness will help prescribe psychiatric medication, legally, at the second company ever allowed to. The data and metrics estate. Warehouse, analytics platform, and the pipelines that tell us what actually happened. Architecture syncs with me. You'll have the standing I give someone who has seen more systems than I have: disagree with me, make the call in your domain, unpack it for the team when asked. What "a fit" looks like, concretely You've owned architecture across multiple companies or many codebases: staff-plus IC, chief-architect, or platform-consulting background. You've seen a dozen ways teams ship and you have opinions with scars behind them. You ship daily at high volume with a fleet of AI agents. That’s table stakes. In the interview we'll ask to see your actual setup and what you let it do unsupervised. "I use Copilot sometimes" is not this. When handed an ambiguous, ugly, load-bearing problem, your instinct is to take it whole: read everything, decide, build, write the doc, tell us what you decided. Not to schedule a meeting about scope. You communicate proactively in writing. The pattern we love: a Sunday text that says "took care of it, here's the PR and what I changed." You hold clinical-grade correctness without losing speed: auditability, HIPAA, fail-closed defaults, invariants over vibes. This is a senior seat. Typically that means 10+ years and multiple systems owned end to end, but we care about the scars, not the number. We have separate openings for earlier-career engineers; this is not that. We need someone who’s seen some shit. This role is not for you if you want to manage instead of build, you need well-scoped tickets to be productive, or big-company pace feels normal to you. Our Tech Stack TypeScript, Node.js, Postgres, Next.js on Vercel, AWS, production LLM agent orchestration and bespoke harnesses, tools, CLIs, skills, evals and observability, EHR and e-prescribing integrations, PHI-grade security and audit trails. Process (7 to 10 days) Process (7 to 10 days) Coffee chat (20 min). We discuss the hardest engineering systems you’ve owned, earned scar tissue, and whether there’s mutual interest and fit at a high level. Systems deep dive (60 min). You walk me through one or two systems you owned for years: architecture, tradeoffs, what broke and what you changed. Take-home (async). You receive a simplified slice of our real repo and system surface, identify an area you’d like to shore up / build out / rearchitect, and execute. The deliverable will be a PR with an implementation (not a plan) and your agent session logs. [Alternate] Paid work trial (2 to 5 days, flexible around your current job). A real domain from our actual backlog, in the real repo, with your own agent tooling. This is the interview. It's how our best people got hired, and it's how you find out whether you want this. Interviews with founders and engineering. You’ll meet the rest of the talented team you’ll work with here at Legion. Decision within 48 hours. Written offer or a written no with the reason. Apply: https://jobs.ashbyhq.com/legionhealth/115954a2-dc13-4a9c-98b6-14fede7b7852 or email me directly with a system you're proud of. Start date: ASAP Role Logistics, Compensation, and Benefits Job type: Full-time Role type: Engineering US Visa Sponsorship: Yes Salary: $250,000 to $400,000 depending on experience, plus meaningful early-stage equity. Health Insurance: Medical, dental, and vision benefits Additional Perks: In-person retreats, meal stipends, etc. Time Off: Flexible, unlimited vacation policy Work hours: flexible but demanding—because we are (literally) saving lives. Work Setup: In-person @ San Francisco HQ; partial remote considered for exceptional candidates (our track record includes both). Impact: Work on something that truly matters to millions of patients and families. Autonomy and Learning: Ownership over your projects with the freedom to set priorities, shape processes, and drive outcomes end-to-end. Growth Opportunities: As we scale, we envision our top performers stepping into expanded roles and joining our executive leadership team. Equal Employment Opportunity Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply. Compensation Range: $250K - $400K

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the Role: Syndi is Syndio's AI platform — one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge — the platform owns the experience. We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3–4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams. What You'll Work On • Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP)., • The eval system — offline gates and online detector/judge evals written onto production traces — and its growth as product teams adopt it., • Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use., • The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract., • Clarifying, designing, and implementing compliance and legal requirements for Syndi.What We're Looking For, • 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes)., • You've built LLM-powered systems in production — an agent loop, tool-calling integration, RAG, or eval infrastructure — and have opinions from the scar tissue., • You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts., • You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped., • Strong written communication — our operating model runs on design docs and PR review across team boundaries., • Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope.Why you'll love it here:, • ???? Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise., • ???? Syndio Equity. So you can share in Syndio's success, • ???? Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave., • ???? Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • ???? Life Insurance & Disability. Syndio covers the full premium., • ????Remote-first in US + Alberta; in Calgary, non-mandatory office available #LI-Remote Role Progession, • First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams., • First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off., • First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off.The interview overview Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • Recruiter Screen (25 min), • Meet the Hiring Manager (30 min), • Technical Discussion - LLMs (60 min), • Take-Home Assignment, • THA Exercise Review (60 min), • Technical Discussion - Architecture/Engineering (60 min), • Executive Interview (30 min) At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Gumloop is the AI automation platform for the enterprise. We give teams the power to easily build and deploy AI agents, in Slack, Microsoft Teams, or standalone, that automate real work across hundreds of integrations with no engineering background required. The platform has three pillars: 1. Agents — Conversational AI assistants that use tools (integrations, workflows, code sandbox, MCP servers) to accomplish open-ended tasks. Unlike workflows that follow fixed paths, agents decide which tools to use and when, adapting based on context. Users configure agents with a system prompt, a model, and a set of tools. Agents can be deployed to a chat UI, Slack, or Microsoft Teams, and can run autonomously via scheduled or event-based triggers., 2. Workflows — Visual, drag-and-drop automations composed of connected nodes on a canvas. Each node is a discrete operation (call an API, run AI, read a spreadsheet, send an email). Workflows are deterministic and repeatable. They can be triggered manually, on a schedule, via webhook, or by external events (new email, Slack message, etc.). Workflows can also be attached to agents as callable tools — the agent orchestrates, the workflow executes., 3. Gumstack — Enterprise-grade MCP hosting, observability, and AI governance. Organizations provision managed MCP servers, control which AI models are available, audit every tool call, and enforce security policies across all agents and workflows. As a Pre-Sales Solutions Engineer at Gumloop, you'll be the technical partner Account Executives rely on to win deals, and work directly with prospects to turn their highest-value automation opportunities into production reality on our platform. You'll run discovery on live opportunities, build tailored demos and proofs of concept, and lead technical evaluations through to signed contracts. This is a hands-on role. You'll scope solutions, build them on the platform, get them running reliably, and make sure customers can take ownership and keep building. You own outcomes, not just demos. • Partner with Account Executives on active opportunities — run technical discovery calls, qualify fit, and surface the highest-value automation use cases for each prospect., • Build and deliver tailored demos and proofs of concept that show prospects exactly how Gumloop solves their problem, and own the technical win through to signed contract., • Field technical, security, and integration questions that come up during evaluation, looping in Engineering for anything outside your depth., • Pilot new customers end-to-end — scope the right use cases, build working solutions on the platform, and drive to production., • Train customer teams to build, iterate, and scale their own automations and agents., • Be the trusted technical advisor customers rely on for architecture decisions and best practices, from first conversation through scale., • Be the voice of the customer back to Product and Engineering — turning patterns from deals and deployments into roadmap input., • Build reusable demo environments, templates, and reference architectures that make every future deal and deployment faster., • Have worked in a customer-facing technical role that touches the sales cycle (Sales Engineer, Solutions Engineer, Solutions Architect, or similar) and are comfortable owning a technical win, not just supporting one., • Are a builder, not just a presenter — you'll scope it, prototype it, and iterate until it works, rather than clicking through a canned demo., • Have strong technical fundamentals — comfortable with APIs, integrations, and data pipelines, and can read/write code (Python, JS/TS)., • Have hands-on experience with AI/LLM-powered applications — prompt engineering, agent architectures, evaluation, or automation frameworks., • Can lead a room — effective with non-technical teams and C-suite alike, translating technical capabilities into business impact., • Thrive in ambiguity and move fast — you're defining the playbook, not following one., • Experience with automation/agentic platforms (n8n, Zapier, Make, Retool, or similar)., • Background in consulting, professional services, or implementation at a high-growth SaaS company., • Familiarity with enterprise security and compliance concerns (SOC 2, SSO/SCIM, VPC deployments)., • Highly competitive salary and meaningful equity, • Generous paid time off: 24 days for SF employees and 20 days globally, use them as you need, • $350/month wellness benefit to spend on gym, spa, equipment, or whatever keeps you at your best, • 15 days of temporary remote work flexibility per year, • 401k match up to 6%

If you've spent your career building world-class support organizations and you're itching to rebuild one from the ground up AI-first, data-driven, and at real scale this is the role. As Director of Customer Experience (Support) at Suno, you'll own our customer support function end-to-end: setting and managing SLAs, running a lean P&L, and ensuring every user who needs help gets a high-quality experience. You'll lead a team of 68 support ICs and partner closely with Trust & Safety, Product, Billing, Legal, and Policy to solve some of our hardest customer-facing problems. You'll report to the Sr. Director of Customer Experience & Safety. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). • Define, track, and manage to SLAs across all support channels using data to surface trends, identify gaps, and drive continuous improvement in resolution time and quality., • Own the support P&L, managing costs while scaling capacity intelligently as the product and user base grow., • Design the right support experience for each problem type deciding when a user needs a human, an AI agent, a help article, or a proactive fix upstream in the product., • Build and iterate on operational processes that make the team faster, more consistent, and less reliant on manual effort including launching new support channels., • Lead and develop a team of 68 support ICs, setting clear expectations, coaching on quality, and building a culture that's as data-minded as it is customer-obsessed., • Partner with Product, T&S, Billing, and Legal to close the loop between support signals and product decisions helping Suno build toward a future where creative fulfillment is a daily reality for everyone., • 79 years of experience in support leadership, with a track record of building and managing high-performing teams., • Background in consumer technology you understand what it means to support a large, diverse user base with high expectations and low tolerance for friction., • Experience building or scaling multi-channel support operations (email, chat, in-app, etc.)., • A genuinely data-driven operating style you set goals in metrics, track them rigorously, and use data to make decisions, not just report outcomes., • Experience managing a support P&L or cost-per-ticket model., • Strong process instincts you document, systematize, and build for repeatability., • Experience with AI-native or AI-assisted support tooling (deflection flows, chatbots, copilots for agents, or similar)., • Hands-on experience building with LLM-powered support tools prompt design, workflow automation, or agent evaluation., • Familiarity with Trust & Safety-adjacent support workflows., • Background in the music industry or a music-adjacent platforms, whether working with artists, labels, or music creators, with the ability to speak fluently about music production, audio editing, and/or the creative process, • Experience scaling a support org through rapid company or product growth., • Hands-on work operating tiered support models across distinct customer segments, including free and paid subscribers, enterprise or API clients, and high-profile creators or artists, with a strong sense of when and how to escalate and how to calibrate the experience for each tier, • Background supporting billing, fraud, or identity-related user issues., • Experience running community or self-serve support programs (help centers, forums, FAQs). This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience. Applicants must be eligible to work in the US. Willingness to travel (up to 10%) to collaborate with team members across Suno office locations. • Company Equity Package, • 401(k) with 3% Employer Match & Roth 401(k), • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options), • 11 Paid Holidays + Unlimited PTO & Sick Time, • 16 Weeks of Paid Parental Leave, • Creative Education Stipend, • Generous Commuter Allowance, • In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

Proven ability to manage multiple priorities in a fast-paced, remote environment. Respond to high-impact agent, partner, and internal inquiries via Intercom (chat & email) with speed, clarity, and empathy. We partner with organizations nationwide to deliver streamlined technology and exceptional cus

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 Description Our client is an early-stage enterprise AI company building an intelligent workspace that converts meetings, email, documents, chat, and operational systems into durable organizational memory, proactive agents, and customer-specific workflows. The company has raised a $10 million seed round, already serves large enterprise customers, and is led by seasoned technology and AI operators. As a Founding Engineer, AI Platform, you will build the core platform from the ground up and operate across product, infrastructure, agents, evaluations, and customer workflows. You will lead reusable platform primitives including triggers, tools, approvals, memory, observability, and workflow execution; own work from customer discovery through launch and iteration; build full-stack product surfaces and backend systems; work directly with customers; and help shape the product roadmap, architecture, engineering practices, and culture. Requirements 3 to 7 years of full-stack software engineering experience in AI-native or fast-moving product environments. Clear 0-to-1 experience as a founder, founding engineer, or early engineer at a venture-backed startup. Strong backend engineering skills and the ability to own work across the full stack. Experience shipping AI-powered features into production and familiarity with LLM APIs, RAG, agent orchestration, tool calling, evaluations, or adjacent agent infrastructure. High autonomy, strong product judgment, comfort with ambiguity, and ability to speak directly with customers. Bachelor's degree in computer science or an equivalent technical degree. Ability to work from San Francisco approximately three days per week. Existing authorization to work in the United States without sponsorship. Benefits Base salary of $180,000 to $250,000 plus competitive founding-stage equity, with approximately 0.25 percent discussed as a reference point. Join a $10 million seed-stage company with real enterprise customers, direct access to the founding team, and meaningful influence over product, architecture, and engineering culture.

Job Description Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. Aircall's AI suite includes an AI Voice Agent and AI Messaging Agent that autonomously handle calls, WhatsApp, and SMS, plus AI Assist, which delivers real-time coaching, call summaries, and CRM automation for sales and support teams. We are looking for someone that can build out the evaluation foundation across all of these products and other agentic products. You'll work on voice models, agent capability evals, benchmark design, LLM-as-judge systems, failure analysis, and the infrastructure that ties it together by establishing shared metrics, test sets, and tooling to measure accuracy, resolution quality, and safety consistently across products. You will set up repeatable pipelines for regression testing and benchmarking as models and features evolve so teams can ship confidently without re-inventing evaluation methodology for each product. Key Responsibilities • Design and document comprehensive evaluation frameworks for Aircall's AI agents across voice, chat and messaging., • Train and fine-tune voice models (TTS, ASR, speech-to-speech) using production and synthetic data, iterating on architecture, data mix, and training strategy to improve accuracy, naturalness, and latency., • Assess AI generated solutions across training pipelines, experimentation setups, debugging processes, and optimization strategies., • Analyze system design decisions and identify strengths, weaknesses, and potential failure points., • Design annotation guidelines and workflows for human-labeled evaluation data, and calibrate LLM-as-judge systems against human raters to ensure automated evals stay trustworthy over time., • Build and maintain live quality monitoring for deployed AI agents, tracking accuracy, resolution rate, and safety signals in production, and flagging model or data drift before it impacts customers., • Own the metric contract for every published AI metrics, including definition, population, grain, rollup, validity window., • Build release gates, the offline regression suite each AI surface must pass before a prompt, model, or config change ships, measuring reliability across repeated trials, not just average pass rates., • Build voice-specific evaluation: simulated callers across accents, languages, background noise, barge-in, DTMF, and tool failures, with latency and ASR accuracy as first-class quality metrics. Minimum Qualifications • BS in Computer Science, Machine Learning, Statistics, or related field, • 3+ years of experience in ML Engineering or Applied ML with 8+ years of overall experience, • Strong experience in evaluating supervised, unsupervised, LLMs and deep learning models., • Hands-on experience in failure analysis and evaluating LLMs, • Experience building automated evaluation systems, • Strong communication skills to articulate complex technical concepts across technical and non-technical audiences, • Hands-on experience training or fine-tuning voice/speech models (TTS, ASR, or speech-to-speech), including data pipeline construction and experimentation. Preferred Qualifications • MS / PhD in Computer Science, Machine Learning, Statistics, or related field, • Experience evaluating LLMs or agentic systems (e.g., LLM-as-a-judge, RAG evaluation), • Experience with synthetic data generation and prompt engineering, • Experience training or fine-tuning voice models at scale, with familiarity in synthetic data generation, model distillation, or low-latency inference optimization for production voice agents. Base salary range: $181,000—$250,000 USD Why join us? ???? Key moment to join Aircall in terms of growth and opportunities ????️‍♀️ Our people matter, work-life balance is important at Aircall ???? Fast-learning environment, entrepreneurial and strong team spirit ???? 45+ Nationalities: cosmopolite & multi-cultural mindset ???? Competitive salary package & benefits DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 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 DescriptionJob Description Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users. This position is 100% Remote. Full Stack Engineer Responsibilities: • Build end-to-end product features across frontend, backend, and AI integrations., • Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps., • Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions., • Design real-time AI interactions with streaming, partial results, and tight latency constraints., • Improve system reliability, observability, and fallback mechanisms., • Collaborate closely with ML, backend, and product teams to ship features end-to-end., • Continuously iterate based on real usage and failure modes. Full Stack Engineer Outcomes: • Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows., • Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions., • Reduce latency and improve responsiveness of AI interactions while maintaining output quality., • Build robust fallback and recovery mechanisms for LLM and tool failures in production environments., • Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring., • Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems., • Contribute to a product experience where AI feels proactive, consistent, and dependable over time. Qualifications Full Stack Engineer Qualifications: • Strong experience in Full Stack Engineering (Frontend and Backend)., • Artificial Intelligence (AI) experience required., • Solid understanding of system design and API architecture., • Experience working with LLMs, RAG systems, or AI-powered applications., • Ability to handle ambiguity and make pragmatic engineering decisions., • Strong ownership; able to take features from idea to production., • Comfort working in fast-moving environments with evolving requirements., • Tech Stack: AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, and SQL. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Keywords: San Francisco CA Jobs, Full Stack Engineer, AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, SQL, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting Looking to hire a Full Stack Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Full Stack Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at www.ginastechjobs.com.

Job DescriptionFounding Engineer Terac connects domain experts with paid work in research and AI. Our network has more than 160,000 registered experts. Research teams and AI companies use Terac to find people who can share their knowledge, evaluate AI systems, and contribute to ongoing projects. We build the software and agents that recruit, verify, match, and pay them. The role We’re a small team, and everyone works across the product. You might improve expert onboarding, debug a payout, build a recruitment agent, or extend a customer integration in the same week. You’ll work directly with the CTO and operations team to identify what needs attention and take it through to production. Within your first month, we expect you to understand the product end to end and independently investigate, build, and ship improvements wherever they’re needed. You will Own and scale the recruitment engine, the algorithm that finds any niche audience in the world through network traversal, targeted ads, referrals, automated outbound, and anything else you can come up with. Build and extend the Terac API that research tooling companies and AI data companies integrate against. Build and improve agents that screen experts through voice and chat, assess their work, identify fraud, and help our team run projects. Evaluate how they perform with real users and make their actions reliable and reviewable. Build marketplace systems for opportunity matching, pricing, feasibility estimation, and repeat engagement. Use what we learn from completed projects to improve who we recruit and how we match them. Design and build the expert experience, including onboarding, project instructions, ongoing work, and payouts. Work with experts and our operations team to understand where people get stuck and fix it. Own the behavior of what you ship in production. Investigate failures across the product, background jobs, and external services, and improve the systems that handle people’s work, data, and money. Work directly with the CTO to shape the architecture behind autonomous agents, real-time voice, and a global expert marketplace. Our core stack includes TypeScript, Next.js, Python, Postgres, and AWS. You are A builder with 3+ years of full-stack experience who has taken ambiguous problems from investigation through to a working product. Fluent in TypeScript, React, and Postgres, and comfortable learning an unfamiliar part of the stack when the work calls for it. Experienced with LLMs, voice AI agents, or evals. Effective with AI coding tools. You use them to move quickly and take responsibility for understanding, reviewing, and testing what you ship. Excited by marketplace dynamics like matching, routing, pricing, and network effects. Comfortable working across the whole product, talking directly with users, and figuring out what to do without a detailed specification. You may have done this as a founder, an early engineer, or in another role with broad ownership. Why now We are at the inflection point, shifting from a research tool into a platform company with 10+ API integrations launching in the next quarter. The human data market for AI training is exploding and we have the recruitment infrastructure already built. You would be joining a 10-person team with 9M in funding and a growing base of happy customers. Working at Terac Compensation: Competitive salary, meaningful equity vested over four years, $10K relocation bonus (for moving to the Bay Area), and an additional $5k housing bonus (if you move within 0.5 miles of our office), Health, Dental, Vision insurance, 401(k) with company match Terac culture: We share what we’re learning through weekly presentations and company hackathons. We use AI throughout our work and expect engineers to take initiative, learn the business, and follow through on what they ship. Growth opportunities: As a founding engineer, you’ll help shape the product and technical decisions across the company. Your responsibilities will grow with the business and the problems you take on. Compensation Range: $140K - $210K

Job Description About Point ✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals. ✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we're scaling fast! You have the opportunity to join us at a pivotal stage. ✨ Game-changing Product: We're building a category defining company in home equity. We've earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers. ✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and a Fortune Best Workplaces in the Bay Area. ✨ Remote First Culture, Genuine Connection: Work from anywhere in the U.S. while staying closely connected through virtual collaboration, team gatherings, and a people-first culture. Select roles may require onsite work at our Palo Alto office one day per week. Location This is a hybrid role based in Palo Alto, with team members expected to work onsite one day per week for in-person collaboration. About the role AI is reshaping how we serve homeowners at Point — from voice agents to email, chat, and SMS agents that enable self-service at scale. We're hiring a Technical Lead Manager to lead the team building them. You'll run a small, senior team, stay hands-on in the code, set technical direction, and work directly with Product, Ops, and CX. If you want to ship applied AI that customers directly interact with, this is the role. Check out our latest Engineering Blog to learn more about why it's a great time to join Point's Engineering team! Your responsibilities • Define the AI technical strategy for CX, including evaluating and selecting frameworks, platforms, and vendor solutions., • Own the technical roadmap for Point's AI-powered customer experience — voice, email, chat, and SMS agents that handle real homeowner interactions., • Write code alongside your team — review PRs, prototype new agent capabilities, and debug production issues., • Partner with Product, CX, and Ops to identify where AI agents can replace or augment manual workflows, then ship it., • Establish success metrics for agent performance and use data to prioritize the roadmap., • Design reliable agent architectures — orchestration, tool use, guardrails, fallback handling — that work at production scale., • Lead and grow a small, senior engineering team: set high expectations, remove blockers, create space for deep work., • Drive observability and reliability across the AI agent stack, leveraging tools like Langfuse. About you • 7+ years of software engineering experience building and operating production systems, including at least 2 years leading or managing engineering teams., • Proven experience developing and shipping LLM-powered, conversational AI, or agentic systems in real-world environments., • Track record of delivering customer-facing products end-to-end, from initial design through deployment, monitoring, and iteration., • Strong ability to partner with cross-functional stakeholders (Product, Operations, CX) to translate business needs into scalable technical solutions and deliver measurable impact., • Deep systems design expertise, with a focus on building reliable, observable, real-time services., • Demonstrated technical leadership, including guiding architecture decisions, evaluating trade-offs, and ensuring high-quality execution., • Experience defining and driving technical strategy and roadmaps for AI-driven, agentic customer experiences aligned with business objectives., • Proven ability to hire, mentor, and develop high-performing engineering teams, fostering a culture of ownership, innovation, and continuous learning., • Experience managing and mentoring engineers, driving performance, and building a strong, accountable engineering culture., • Hands-on experience with LLM and agent development, including prompt engineering, RAG, tool usage, and orchestration frameworks., • Comfortable making build-vs-buy decisions and rigorously evaluating third-party vendors and platforms., • Familiarity with conversational AI infrastructure such as telephony, messaging APIs, or chat platforms at scale (preferred)., • Experience with AI/ML evaluation and observability, including instrumentation for quality, drift detection, and continuous improvement (preferred)., • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role in the San Francisco Bay Area | $234,650 - $259,350 This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation. Our benefits Generous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA). Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays. Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ. Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2–3 days per week while receiving full base pay. Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success. Financial wellness: We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage. Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor. Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn. California Consumer Privacy Act Notice

Job Description Mason AI is on the frontier of agentic AI for the built world: we're the technical leaders at building AI that checks blueprints are buildable and safe. We’re looking for a Founding AI Engineer to improve Mason's accuracy on our evals. You will go deep on the cutting edge of optimizing multimodal AI agents. We have similar technical problems as other agentic AI startups, stacked on top of AI for spatial reasoning and computer vision. Your work will directly affect the built environment of California within the first month of joining. You will have a massive impact on the product, the company's future, and the country's, as we accelerate American construction. Join us. Who you are An AI-pilled SWE with 3+ YoE. You know how to make mature architectural decisions for core modules, but you're AI-pilled enough to work with parallel workflows for lighter weight work. You're mission-oriented and care about solving the housing crisis. You love ownership and don't mind ambiguity or unblocking yourself. What you'll do 50+% of your time will be spent improving the accuracy of our multimodal agents that check blueprints for building code compliance. Think post-training models and autoresearch. Wear hats as needed on topics ranging from lightweight data engineering, setting up the team's coding agents for success, building internal tooling, improving the webapp, and more. Boil lakes by building new agents that extend our existing offering to commercial and multifamily housing across the country Talk to users weekly Our operating principles Fail fast and cheap. Slugging percentage matters more than batting average. We can make a lot of mistakes as long as we get a few things right. A written culture - we document our thinking on the few things that matter most. Internal tooling is a first-class use of time. In-person work is a must. Benefits Competitive salary ($160k-$210k). Generous early-stage equity (0.75%-2%). Free lunch and dinner (ordered at 6 pm) at the office. Fully paid health insurance with over $1000/year in employer contributions to an HSA. A 401(k) that accepts pre-tax and Roth contributions. A commuter benefits account and a monthly wellness benefit. Opportunity to shape the future of our country. Interview process Our interview process aims to be lightweight and respect candidates' time. We can fit it in 2 weeks. Intro call (30 min) - Informal chat on your interests and experience AI Coding & Technical Disagreement interviews (90 min) Designed to mirror real work you'd do at Mason, you'll build a prototype for a slice of our product. AI coding tools (e.g. claude code, conductor, wsprflow) are strongly encouraged. Give us a play-by-play of a technical disagreement at work. We're looking for important disagreements with conflict. Paid work trial (3 days) - We'll set you up to run evals for our multimodal agent on our repo, and we'll ask you to generate hypotheses for experiments to run, run those experiments, and then analyze them. You'll be evaluated on your speed at running thoughtful experiments. We're flexible on scheduling, and usually run these over the weekend to minimize impact on your weekday schedule. Full-time offer Note: We are unable to offer visa support. Compensation Range: $160K - $210K

Job Description Location: Palo Alto, CA or Waltham, MA (hybrid) Small business owners don't have a risk department. They spend their time and energy starting and growing a business. NEXT's mission is to help entrepreneurs thrive, and we're using AI to make business insurance simple, fast, and affordable enough that it never costs them a day of work. We're an AI technology company that happens to also be a fully licensed insurance carrier. Because we're a full-stack carrier, AI isn't a layer bolted onto someone else's product. It's in the underwriting, the pricing, the classification, and increasingly in how the product itself gets built. We're rebuilding the core judgment loops of a hundreds-of-years old industry, and doing it with a lean team, which is exactly why AI matters. We underwrite our own risk, build our own systems, and own the entire value chain, so the product decisions made here show up directly in what a customer pays and how fast they get covered. Since 2016 we've insured hundreds of thousands of small businesses across the country. As a subsidiary of Munich Re and ERGO, our growth is backed by the financial strength of one of the world's leading reinsurance and insurance groups. About the role Business Owner's Policy is our flagship product, and this squad owns it. Today it's run by insurance product managers carrying both the insurance and the technology load. We're hiring a PM to take the technology and GTM half: roadmap, technical solutions, delivery, packaging, design, and channel go-to-market. The IPMs stay the authority on the insurance product itself, from underwriting guidelines to new coverages, limits, and industries. One key part of this job is using AI to grow the product relentlessly. That means AI in the GTM, AI that makes everyone in the squad work more efficiently together, and building tools that help the team build the insurance product itself. We don't care where the leverage comes from. We care that you find it, and that the squad moves faster and the product gets better every month because you're on it, using AI. You, insurance product managers, along with the rest of the squad carry the same OKRs. That means you're accountable for knowing the insurance product well enough to make sound decisions about how to grow it, not just for shipping what's handed to you. If you want to work on financial products with real revenue (in the $xxxM range), a complex and interesting technical surface, and massive ceiling to change how it continues to get built, this is the job. What You'll Do: • Drive the roadmap. You are responsible for making sure that sizings get done, and make the long-term versus short-term trade-off explicit rather than implied. You and insurance product managers agree on the plan together; you're ultimately accountable for it, • Ship a true Business Owner's Policy (BOP) product. Take a bundled product that customers understand and buy in a single flow, and close the distance between what we sell today and what makes a great BOP product, • Own go-to-market with the channels. NEXT distribute our insurance products through 3 channels: Direct, Agent, and Partnership. You will work closely with the cross-functional groups to focus and deliver on a plan of action, • Package and merchandise products. How coverage is presented and packaged to small business owners and to insurance agents are a product decision, and it's yours, • Build a great user experience. Build delightful UX that drives conversion increase and underwriting quality improvements, • Run planning and executive communication. Run product strategy planning and host monthly progress update and strategy discussion session with the executive team, • Learn insurance. Coverages, appetite, filings, loss ratio and more. You won't be the authority on it, but you will be fluent, and the squad will feel it if you aren't What We Need: • 8+ years in product management, shipping customer-facing products with meaningful revenue attached. Bonus if that product was complex, regulated, or financial, where the details are the hard part, • User obsession backed by ruthless prioritization. You understand your user's pain points well enough to cut the roadmap down to the few things that actually change their experience, and you stay focused on delivering that impact, • Exceptional executive communication. You can compress a complex situation into something a VP and chief executives understand clearly and respond to., • Direct experience working with distribution channels or GTM teams. You've been the pseudo-PMM for a product before, or close to it, • Comfort building software that sells a complex, regulated, or financial product where the details matters, • A habit of challenging the status quo by getting to the core of a problem, not by having stronger opinions or louder voice than everyone else in the room, • Ability to use AI tools to accelerate and automate your workflows without compromising quality and critical thinking Unstoppable Qualities: • Background in insurance, fintech, lending, or another regulated category., • Experience selling to small businesses, where the buyer is the owner and the attention span is thirty seconds, • Strong analytical skills and experience. You have deep experience working directly with data, as well as working with data sciences partners, • Strong design partnership instincts. You brief well and you know when the answer is a UX problem, not a feature. Salary Range: The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more. US annual base salary range for this full-time position: Palo Alto, CA: $180,000 - $244,000 Waltham, MA: $163,000 - $220,000 Note on Fraudulent RecruitingWe have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Don't meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Senior Staff AI Engineer, Agentic AI Location: Bay Area - Oakland, CA Employment Type: Full-time Experience: 8–15 years Focus: Agentic AI, Scientific Reasoning, AI Harnesses, Tool Use, Memory, Evaluation Systems About Our Client Our client is building the first AI-native operating system for materials science. Their platform helps scientists, chemists, and R&D teams reason through complex scientific problems using AI-native workflows, proprietary scientific data, and agentic systems designed for real-world research environments. The company is working with a uniquely valuable scientific data foundation, including trillions of proprietary scientific tokens that are not available anywhere else. This creates a rare opportunity to build AI systems that understand how scientists think, work, and make decisions. About the Role Our client is hiring a Senior Staff AI Engineer to own the technical direction of the agentic AI harness at the center of the platform. This is the most senior hands-on individual contributor role on the Agentic AI team. This person will define how the product evolves from a chat-based experience into an agentic-first platform where AI agents can reason, plan, use tools, remember context, evaluate outcomes, and operate across the full scientific workflow. This is a true 0-to-1 role. You'll build the orchestration, tool use, memory, planning, and reasoning layer for production agent systems while helping lead two junior engineers on the AI harness. You'll also partner closely with product and ML leadership to expand agent capabilities across every surface of the platform. What You'll Do Own the technical direction for the agentic AI harness Build and expand production agent systems for scientific and chemistry workflows Design orchestration, tool use, memory, planning, and evaluation layers for agentic systems Help shift the platform from a chat-style interface into an agentic-first experience Build tools and sub-agent personas that reflect how chemists think and work Integrate frontier reasoning models into the application Expand agent capabilities across scientific workflows and product surfaces Contribute to potential fine-tuning programs for domain-specific scientific reasoning Make agent behavior observable, measurable, and reliable through tracing and evaluation systems Evaluate agent performance against real scientific tasks Drive agent reliability to the level where customers can trust agents to act with increasing autonomy Provide technical leadership to junior engineers on the AI harness team Partner closely with product, ML, and engineering leadership on roadmap and architecture What We're Looking For 8–15 years of experience in AI engineering, software engineering, ML engineering, or related technical roles Staff-level or Senior Staff-level experience setting technical direction, not just executing tasks Experience building sophisticated production agent systems from inception through scale Experience building an agent harness or similar agentic infrastructure Hands-on experience with low-level agentic frameworks such as LangGraph, LangChain, or equivalent tools Strong full-stack programming experience across Python, React, TypeScript, or similar technologies Deep understanding of LLMs, agent orchestration, tool use, memory, planning, evaluation, and production reliability Ability to design systems that move beyond chat into autonomous or semi-autonomous workflows Strong judgment around system architecture, model behavior, observability, and product safety Experience working in a startup, or a background combining big tech experience with startup execution Ability to lead technically while remaining deeply hands-on Technical Environment Relevant technologies and concepts include: Python LangGraph LangChain Agentic frameworks Frontier LLMs, including GPT-4, Claude, and similar models Braintrust Tracing and evaluation systems RAG React TypeScript Tool use Memory systems Agent orchestration Scientific reasoning systems Preferred Background Our client is especially interested in candidates with: A degree in science, engineering, computer science, or a related technical field Master's or PhD from a strong technical university Scientific background or professional exposure to chemistry, physics, biology, materials science, or mechanical engineering Experience fine-tuning reasoning models Experience building AI systems for scientific reasoning Experience working with proprietary datasets or domain-specific AI systems Experience mentoring or leading junior engineers while staying hands-on Why This Opportunity Own the agentic AI layer at the center of an AI-native scientific platform Build agent systems for real chemistry and materials science workflows Work with proprietary scientific data that no one else has access to Help define how scientists and AI reason together Move a platform from chat-based AI into agentic-first workflows Partner directly with product and ML leadership on company-defining technical direction Step into a Senior Staff-level role with broad technical ownership and meaningful product influence Build at the intersection of frontier LLMs, agentic systems, scientific reasoning, and enterprise R&D Ideal Candidate Profile The ideal candidate is a Senior Staff-level AI engineer who has already built production agent systems and knows what it takes to move them beyond version one. They are deeply hands-on, technically opinionated, and capable of setting direction across agent orchestration, memory, tool use, evaluation, tracing, and product integration. They understand that reliable agent behavior requires more than model calls — it requires systems, feedback loops, observability, and strong product judgment. This person should be excited by the opportunity to build AI systems that help scientists reason, discover, and work in fundamentally new ways.

Job DescriptionAbout Us Salient builds AI agents for regulated financial services. Our agents automate loan servicing, compliance, collections, recovery, insurance claims, and disputes for banks, captives, and specialty lenders. We are: Backed by a16z and Y Combinator, with $75M raised in Series A funding Cash flow positive and profitable, with mid eight figure ARR achieved in under two years Already serving more than 20% of the auto lending industry Processing millions of real customer calls and transactions every day Fully deployed in production with major financial institutions Actively expanding into new financial services segments Building together in person in San Francisco We are deeply integrated with our customers, own the full technology stack, and move quickly to bring modern AI into regulated industries where precision, reliability, and performance matter. The Role We're hiring the Lead Product Manager for the agent product itself, omni-channel. You will own what the agent can do, how well it does it, and how quickly a new lender can get it live. This is the most important surface at the company, and today it's a set of very capable channels that needs to become one coherent product. This is a hands-on role. You'll be listening to call recordings, sitting with servicing teams, writing specs an engineer respects, and defining what "good" means for an agent that talks to people about their money. You'll have the option to build a product team around you over time, but the first year is about your own judgment and throughput. What You'll Own • The roadmap and strategy for the agent across voice, text, email, and chat — including the hard part: making a conversation that starts in one channel finish cleanly in another., • Agent quality. You define the metrics — containment, resolution rate, escalation, handle time, CSAT, error and hallucination rates — build the evaluation loop, and move the numbers., • The servicing workflow catalog. Turning payments, payoffs, hardship, collections, title, and insurance from bespoke deployments into configurable product., • Time-to-live. Getting a new lender from signed to in-production faster every quarter., • Guardrails and compliance posture in the product: disclosures, audit trails, human handoff thresholds, and the design decisions that keep us inside FDCPA, TCPA, UDAAP, and state servicing rules., • The bar for discovery, specs, and instrumentation that the rest of the product org will inherit. What We're Looking For • You've shipped LLM-powered products to real users — not demos. You can reason about prompting, evals, retrieval, tool use, and latency/cost tradeoffs, and you know where models break., • You own outcomes, not artifacts. You move fast, decide with incomplete information, and are comfortable being the most accountable person in the room., • You go to the source. You'll listen to hundreds of calls and sit with ops teams because that's where the real workflow lives., • You're rigorous about measurement. You can tell a model problem from a product problem from a data problem., • You hold your own with engineers. You can read a trace, debate an architecture decision, and write a spec that doesn't need translating., • You have instincts for risk. You know how to design a system that's allowed to be wrong sometimes without that being catastrophic., • You can say no to a large customer and keep the relationship., • You write and present clearly enough to stand in front of a lender's risk committee. Nice to Have • Voice, IVR, contact center, or conversational AI experience — telephony constraints, barge-in, latency budgets, transcription error, call QA., • Background in lending, servicing, collections, or adjacent financial operations., • Experience hiring or mentoring product managers. Why This Role Most AI product roles are features bolted onto an existing business. This is the product. The agent is the company, the market is enormous and underserved, and the problems are genuinely hard — real-time voice, regulated conversations, and a quality bar set by people's mortgages and car payments. You'll have the scope to define how an entire industry talks to its customers. At Salient, we’re building at the edge of AI - fast, focused, and with real ownership. Sprints and major launches move quickly, and we look for people who are energized by that pace. Our team typically works around 60 hours per week, beginning at 8:00 AM, with four days spent collaborating in person at our San Francisco office. We also offer a benefits package designed to support our full-time employees: medical, dental, and vision coverage, a generous 401(k), and catered lunches. By applying, you acknowledge that your personal information will be processed in accordance with our Privacy Policy. Compensation Range: $200K - $320K

Job Description Samba TV is a media intelligence company. We use consented, large-scale viewership and consumer data to help the biggest brands in the world make smarter decisions about how they reach and understand their audiences. We're building a new AI-powered product with a real-time, conversational interface. Users interact with a system that researches, reasons, and produces real deliverables — interactive charts and data views, structured outputs, and downloadable documents — as it works. It's a modern, AI-native, type-safe codebase, and the hard problems involve long-running agentic sessions in front of enterprise customers, where latency, cost, and graceful failure decide whether the product feels trustworthy. We're looking for a Full Stack Engineer to join our Agentic Product Engineering team in San Francisco. This is a genuinely full-stack role that spans the whole request path: an AI/agent backend, the Node/TypeScript service layer that fronts it, and the React streaming UI on top. You'll own meaningful pieces of it end to end and grow your range across the rest. You'll also be someone the team can rely on to carry front-end work when it needs coverage, but the front end is one facet of the job, not its center. WHAT YOU"LL DO Build across the whole system. Work end to end across the AI/backend engine, the service layer, and the UI. Own the features you ship — how they stream, how state is modeled, how they fail — and contribute to the broader design conversations about orchestration boundaries, streaming protocols, the type-safe client-to-server contract, artifact and file-delivery flows, and persistence. Build on the backend and AI layer. Work in the engine that powers the product — extending backend services and their capabilities, wiring model interactions and structured outputs, handling streaming, and managing state and persistence. Reason about latency, cost, and failure modes as you go. Work in the service layer. Extend the Node backend-for-frontend between the UI and core services — building endpoints, streaming responses (SSE) to the browser, enforcing auth, and keeping the client-to-server contract type-safe end to end. Ship UI, and provide front-end coverage. Build a streaming, chat-style interface in React on a modern SSR framework — live token streams, progress indicators, and inline interactive content — and turn structured data into interactive charts, tables, and the download/preview experience for generated documents (e.g., PPTX, PDF). Get streaming and async right. Handle the realities of long-running, asynchronous work end to end: partial/streaming state, loading and "generating" transitions, reconnection, large-payload handling, and graceful behavior when a request fails mid-flight. Raise quality. Write unit, integration, and end-to-end tests, instrument what you ship on both the client and the server, and use logs, traces, and error tracking to debug issues that span the UI and the services behind it. Help get real launches out the door. We ship on a staged progression with real users at every step. You'll be part of that: shipping into live cohorts, watching how the product behaves, and fixing what the staging surfaces before it reaches the next group. Understand the context you're working in. Build a working model of how the system and its downstream dependencies behave, and use it to make good implementation calls on well-scoped work rather than waiting for fully-specced tickets. Collaborate. Partner with product, design, and platform/backend engineers, and communicate clearly in code review, design discussion, and technical writing. WHO YOU ARE A full-stack engineer with real range. You've owned significant features end to end across the stack — services, APIs, and UI. You default to action, but you also think about the second-order effects of a design. Strong in JavaScript/TypeScript and Node. This is the center of the role. You write clean, type-safe code and lean on the type system rather than fight it, and you're comfortable working in backend services and APIs and reasoning about data flowing over REST and SSE. Genuinely full-stack, with real front-end depth where it counts. You have meaningful, hands-on React experience and a solid grasp of the web platform. What matters most here isn't breadth of UI work — it's judgment on the hard parts: streaming and asynchronous state (SSE, WebSockets), reconnection and mid-flight failure, rendering performance under long-running token streams, and accessibility. You can reach for AI tools to move fast, but you own the correctness of what ships rather than trusting generated code to get these edge cases right. You can carry front-end work when the team needs coverage, without needing it to be the bulk of your work. A clear thinker about trade-offs. You can weigh options, write up a design clearly, and explain the "why" so others can build on it and push back on it. Fundamentals. Solid with relational databases (PostgreSQL) and SQL, Git, and CI/CD. You understand how applications get deployed to the cloud (AWS, GCP, or Azure) and how to operate what you ship. A good collaborator. You explain technical ideas clearly, give constructive review, and are open to feedback. You disagree well. Education / experience. A Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. Typically 4+ years of professional full stack / web application development. NICE TO HAVE Experience with a modern SSR/full-stack React framework (Next.js, Remix, or TanStack Start) and the surrounding ecosystem (Query, Form, Router). Familiarity with AI / LLM application development — streaming chat UIs, tool-calling, or agentic/multi-agent patterns. Exposure here is a strong plus. Familiarity with type-safe API contracts (tRPC, Hono RPC, or GraphQL) shared across a monorepo. Comfort with modern tooling: pnpm monorepos, Vite, and a TypeScript-first workflow. Experience with auth flows (Auth0, OAuth/OIDC, JWTs) in a single-page or SSR app. Familiarity with observability tooling — Sentry, OpenTelemetry, Prometheus/Grafana, or similar — for debugging and operating production systems. Experience in AdTech, MediaTech, or data-heavy product environments. Knowledge of scripting (Python, Go, or shell) for automation and testing. Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 the Role Join a well-funded (Series A/B), stealth-stage consumer tech startup building an AI-powered map and social discovery platform. The product helps people figure out where to go and what to do — combining one of the largest structured indices of real-world places and events with a clever, social product experience. As a Founding Engineer, you'll own problems end-to-end, work directly with founders, and make architectural decisions that shape the core system. This is a high-ownership, high-impact role for someone who thrives in ambiguity and moves fast. What You'll Work On Search and ranking at massive scale (200M+ places, millions of events) Recommendations and personalization of places and events using embeddings, structured data, and social signals Real-time infrastructure — chat, presence, and location systems that feel instantaneous AI agent pipelines that plan, retrieve, and reason over diverse data sources Map display algorithms that determine what deserves attention Data pipelines that structure large volumes of unstructured web data for novel product experiences Pushing Elasticsearch and vector search to sub-100ms latency across large datasets Engineering Tracks You don't need to fit neatly into one area — most people here won't. Application Engineer (Full-Stack) Build fast, expressive interfaces across mobile and web Own features end-to-end from UI to backend Tools: TypeScript, React, React Native, iOS/Android Data / AI Engineer Build the intelligence layer — search, ranking, pipelines, and agent systems Design systems that operate over large-scale, messy real-world data Tools: Python, TypeScript, Elasticsearch, Snowflake, LLMs, embeddings, retrieval and recommendation systems What We're Looking For 0–5 years of professional software engineering experience Proven experience building real-time or low-latency production systems Proficiency in search, ranking algorithms, and related infrastructure Experience with data processing pipelines, ML/AI workflows, or data engineering Track record of infrastructure and performance optimization at scale Prior experience at early-stage startups; comfortable operating with high ambiguity Ability to own features end-to-end with cross-functional collaboration (product, design, engineering) Strong problem-solving and fast decision-making in fast-paced environments You care about how something feels, not just whether it works Compensation & Benefits Salary: $150,000 – $250,000 USD annually Equity as a founding team member Location San Francisco, CA — on-site required Candidates must be located in or willing to relocate to San Francisco No visa sponsorship available — must be eligible to work in the United States without sponsorship

Tldr on us: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. We built that. Our AI discovers how work actually happens across every team and application, Structures it into a living Context Graph, and Improves it continuously. ServiceNow mapped 900+ processes in 9 days. DoorDash captured 3,800+ finance operations in 14 weeks. That's not a project. That's compounding intelligence. OpenAI, Google, DoorDash, and Stripe use Within to transform how they transform. We shipped GPT-4 document chat within 12 hours of OpenAI's API launch. We move fast, reward agency, and care deeply about our customers, our team, and our mission. This is the first dedicated business development role on our Enterprise team, and one of the first at Within. Our Account Executives currently prospect their own patches, which is the single biggest constraint on how fast we add new enterprise logos. You'll take that on: running outbound across a defined book of Enterprise AEs instead of owning a patch of your own. Your territory: companies with $500M+ in revenue in software, professional services, financial services, healthcare and manufacturing. Your job is coverage and speed - finding accounts the moment they become winnable, reaching the right person first, and building net-new pipeline across multiple patches rather than going deep on a handful of logos. We don't have a sequencer, a cadence library, or a proven outbound playbook yet. We do have Salesforce, HubSpot, Gong, Clay, Sales Navigator, a documented ICP and sales process, and proof points that get people to lean in. You'll help build the rest, and the plays you write will be what we run for years. Build and maintain the target account list across the Enterprise segment, against a $500M+ revenue floor. Know which accounts are live, which are parked, and why. Track the signals that predict a deal: an active or imminent ERP, CRM or HRIS migration (S/4HANA, Oracle Fusion, Workday, Salesforce), post-M&A integration, a new transformation mandate, or a new Finance or Transformation executive in their first 180 days. Reach out proactively to senior executives across Technology and Transformation, plus GTM, IT and Finance. Internal Audit and Compliance isn't a viable entry point on its own. Source the process excellence and operations managers who don't hold budget but convert 3-5x better than broad campaigns, and fill our Change Agent Bootcamps. Write outreach a CFO actually reads. Close to half of won deals compete against doing nothing, not another vendor. Qualify every meeting to a real bar: confirmed authority, confirmed need, an identified use case, and a discovery call booked with the AE. Run account planning with our Enterprise AEs and keep handoffs clean. Help build the function: choose the sequencer, set the cadence, write the objection handling, and feed what's working back to the team. Have 4+ years of professional experience, including 2+ years in an SDR, BDR or inside sales role selling SaaS or AI solutions, with a quota you've consistently beaten. Have prospected into $500M+ enterprise accounts and can hold structure across hundreds of accounts and multiple AEs at once. Are comfortable opening conversations with CFOs, CIOs and VPs of Transformation, in writing and on the phone. Do the research. Personalization means knowing a company is eighteen months into a stalled Oracle Fusion program, not swapping in a company name. Write short, specific, no-filler copy. Use AI daily in your own workflow, not just talk about using it. Are fluent in Salesforce and modern prospecting tools. Have sold into finance, transformation, process excellence or shared services organizations. Have built an outbound motion from scratch, or rebuilt one. Be adept at Apollo, Gong, Sales Navigator, Salesforce or similar tools. Use LLMs like Claude/ChatGPT/Grok as part of your daily workflow We're not just hiring a title. We're hiring a builder. Here's what matters to us: History of Achievement : You have a track record of setting ambitious goals and hitting them. Quota attainment isn't a hope - it's a habit. Intellectually Curious : You learn everything about your customers, their industry, and the product - then use that knowledge to delight prospects and win trust. Appetite for Closing : Passionate about winning. Comfortable asking people to make decisions right now. You drive urgency without creating pressure. Coachable : You have the desire and ability to take feedback, internalize it, and get measurably better - fast. Scrappy Builder : Proven track record of building, not just managing. Hungry for the next level and willing to do the unglamorous work to get there. AI Fluent : You possess a deep understanding and proven track record of using a variety of AI tools across all aspects of the sales process - from discovery to ROI to close. You use AI to sharpen prospecting, manage your time, stay organized, and prioritize your day to maximize results. Building your own Agents and Skills is a plus. Loyalty & Resilience : Commitment to prior employers. We want people who dig in when things get hard, not people who optimize for optionality. Customer Obsessed : Entrepreneurial spirit, strong opinions, bias for action. Cares deeply about customer outcomes. Technical Translator : Can make the complex feel simple. Moves fluidly between deep technical conversations and business-value story telling This role is based in San Francisco, in the office four days a week under our standard in-office policy. Outreach happens by email and phone from a desk, with no customer travel neccessary. Equity in addition to competitive cash compensation 100% Employer-Paid Medical, Dental & Vision options! Paid Parental Leave $500 Annual Learning Fund $150 Monthly Wellness Fund 401k via Betterment Relocation support to San Francisco Bay Area (where applicable) Office-related Perks: BART or Caltrain to the office? : Contribute pre-tax funds to a Parking & Transit account, and you will never be taxed for it! Lunchtime, Leveled Up : Enjoy curated local eats delivered to the office daily to enjoy with the team over an engaging conversation Snack Central : Drinks and snacks for

Kernel is crazy fast, open source browser infrastructure for AI agents. We handle autoscaling, observability, and the messy details of web interaction, so developers can focus on what their agents do instead of how they do it. Teams at Cash App, Rye, and 5000+ others use Kernel for deep research, QA automation, and real-time web analysis. We've raised $22M from Accel, YC, and Vercel. If you're interested in building critical infrastructure for agents on the web, we'd love to chat. You'll be one of the first members of a lean sales team. You'll own the full sales cycle for Kernel, from initial conversation to closed deal. That means prospecting and qualifying the right accounts, running discovery that gets to the real problems a customer is solving, and building relationships with the developers and technical leaders who'll rely on Kernel for their production systems. This is a technical-leaning AE role. You'll spend time understanding prospects' technical requirements, not just running a deck, and you'll lean on customer success & solutions, engineering, and product team members to keep technical questions from slowing down a deal. What You'll Do • Own your pipeline end-to-end: prospecting, qualification, discovery, negotiation, and close, • Build and manage relationships with developers, engineering leaders, and technical decision-makers evaluating Kernel for production use, • Partner with solutions engineering, customer engineering/success, and engineering as needed to scope technical requirements and keep deals moving from demo to signed contract, • Give the team an accurate, up-to-date read on your pipeline and deal status, • Represent the voice of the customer internally, feeding market and competitive intelligence back into product and go-to-market strategy, • Help define what a repeatable sales motion looks like at Kernel you're building the playbook, not just running one What We're Looking For • 4+ years of closing experience in a sales role, ideally selling technical or developer-facing products, • Comfortable selling to technical buyers: you don't need to write code, but you can hold your own in a conversation about architecture, APIs, and how a product actually gets used, • Experience running a full-cycle sales process, from outbound or inbound lead through negotiation and close, • High tolerance for ambiguity most of our customers are building things that don't have a playbook yet, • You use AI daily in your own workflow, and are excited to be in an AI-native space, • Excellent written and verbal communication, with the judgment to know when to loop in teammates versus close on your own, • Experience selling developer tools, infrastructure, or API-first products, • Familiarity with AI agents, browser automation, or the broader agent tooling landscape, • Prior experience at an early-stage startup where you helped build the sales process, not just execute one What You Can Expect As A Kernel • Industry-competitive salary, • Above market equity, • Premium medical + dental and vision coverage + dependent coverage, • Small, trusting team of experienced GTM and engineering staff, • Default async with minimal bureaucracy, • Daily lunches on us, • Unlimited PTO, • 401k + company match, • Relocation assistance

Aiven is putting its first sales seat on the ground in the Bay Area, working exclusively with Digital Natives. The AI-native companies being built here are choosing their data infrastructure now, that means the event backbone their agents and pipelines run on, the analytics store their traces and evaluations land in, the Postgres that becomes their system of record, the index behind retrieval. This seat is designed to be where those companies are today: early, engineering-led, moving fast, and about to make decisions they will live with for years. You'll be in the room when those decisions get made and stay in it as they scale. That is what partnership means at this stage, and it is why the outcome you sell is not a database. It is a product that ships sooner because the team builds features instead of running infrastructure. A first workload in production in days, through the Terraform provider and a Marketplace private offer, not a procurement cycle. A cost line that scales with usage rather than with the platform team they would otherwise have to hire. And a data layer built on open source, on every major cloud or in their own account, so the first enterprise customer's compliance questions and the next round's growth don't force a re-platform. Your job is to be first, and to turn usage into durable commercial relationships. We're a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to become the trusted Data & AI Platform for everyone, leveraging the most popular open-source technologies like Apache Kafka, Aiven for PostgreSQL, Aiven for Clickhouse, and Aiven for OpenSearch. to help companies accelerate time-to-market, drive efficiency, and build innovative solutions across any cloud. You will drive strategic growth by acquiring new Aiven customers and expanding relationships. This is a high-impact, quota-carrying role focused on new logo acquisition, growing usage over baseline, and increasing customer commitments in one of Aiven's most important markets. In this role, you will engage C-level and senior stakeholders across both technical and business functions (e.g. CTO, CIO, VP Engineering, Head of Product) at scale-stage AI-native companies headquartered in the Bay Area. These may be model builders, agent and AI-application companies, AI infrastructure and developer-tools companies, and the product companies rebuilding their data plane for AI workloads. They are typically engineering-led. You'll leverage Aiven's proven sales methodologies MEDDPICC qualification, the Challenger Sales approach, and Command of the Message to manage complex sales cycles from prospecting to close. • Get there first. Work a named list of Bay Area AI-native accounts. Be in the meetups, hackathons, founder dinners and engineering offices where new workloads get decided, and find the team that is about to need streaming, analytics or Postgres. Convert usage into committed contracts once the run-rate justifies it., • Sell the way AI companies buy. At many of these companies, engineers and increasingly their coding agents choose infrastructure through Terraform, APIs and docs, not RFPs. Understand that path well enough to help people through it. Land usage-based customers through self-serve or Marketplace private offers, then convert them to committed contracts once usage justifies it., • Identify Opportunities for competitive displacement within current customers and new prospect customers. Find teams on Cloud, especially on Google Cloud, who are reconsidering Take them from a migration assessment with the Solution Architect to a committed, deal-registered contract., • Co-sell with Cloud partners. Marketplace private offers, startup credit programmes, deal registration on every co-sell opportunity, and the Google account teams that cover your accounts., • Build the network that feeds the territory. Founders, platform engineers, investors and their portfolio teams. Work with Aiven for Startups and our investor relationships. Source speakers and co-hosts for Aiven's Bay Area meetups and developer evenings with our marketing team., • Qualify as a diagnostic, forecast on evidence. MEDDPICC in Salesforce: a named champion, an engaged economic buyer and a quantified impact, • Bring the market back. Close the feedback loop, share learnings with Aiven product and leadership on what AI-native teams are building, what they choose instead of Aiven, and why, in specifics., • New logos closed at technical, high-growth companies selling data, developer or cloud infrastructure, on usage- or consumption-based pricing. You can show the numbers: quota, attainment, deal sizes, and how much of your pipeline you sourced yourself., • You've built a territory from a standing start before, and you'd choose to do it again., • Enough technical depth to hold your own with a platform engineer. You know what Kafka, ClickHouse, PostgreSQL and OpenSearch are for, how AI applications and agents use them, and what a Terraform-provisioned evaluation looks like., • Fluency in MEDDPICC and Command of the Message, and the ability to change a buyer's plan with a technical/business insight rather than a slide., • You're already part of the Bay Area AI and developer ecosystem, or you can show you've built a network like it before., • You live in the Bay Area. This is an in-person role, split between our San Francisco office and your customers' offices. If you don't match every line but you have built a territory in a technical market and can show the numbers, apply. • First 90 days: fifteen first meetings with priority accounts, five qualified opportunities, your first pay-as-you-go lands, and deal registration on every Cloud partner co-sell opportunities., • Six months: ten qualified opportunities, your first new Bay Area logos consuming or your first cometitive displacement win, and the first usage-based customer converted to a commitment., • Twelve months: eight new Bay Area logos consuming, or two competitive displacement wins, with usage-based customers converted to committed contracts behind them. You'll hear from our Talent Experience team within five days of applying. From there: • A conversation with one of our Talent Experience Partners., • A depth-of-expertise interview with the hiring manager. Bring your numbers. Depending on timing this may be in person), • A working session with the team: you'll build a first-90-days plan for a set of real Bay Area accounts and run a live discovery conversation with our Solution Architect., • An Aiven Values interview. If you think Aiven is the place for you and that our Values align with yours, send us your resume and we'll get in touch! On-Target Earnings $400K $450K Equity Our global benefits are designed to help you thrive and grow, personally and professionally: • Participate in Aiven's equity plan., • Balance work and life with our hybrid work policy., • Choose the equipment you need to set yourself up for success., • Use your Professional Development Plan budget for learning opportunities., • Receive holistic wellbeing support through our global Employee Assistance Program., • Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time), • Enjoy country-specific benefits for our global cast. There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person. Our interviews will never occur via text or chat. If you're unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don't hesitate to reach out to us at recruitment@aiven.io.

Giga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter. We're at an exciting inflection point. While we've found real commercial success, our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies. If being part of that resonates with you, we'd love to hear from you! We're looking for a Customer Success Lead to own consumption across a book of roughly 10 of Giga's production customers. Every enterprise contract we sign carries a minimum usage commitment. Your job is to get each customer to that commitment and past it: more conversations on the agent, more intents live, more channels and business units on Giga. You carry a number for it. You'll own each customer's timeline for getting there, and you'll push on it from both sides: externally, when the customer's team is slow to expand scope or route volume, and internally, when a product bug or a missing capability is what's holding them back. You sit between our Forward Deployed Engineers, who build and tune the agents, and our Enterprise Sales Representatives, who close the deals. You're the quarterback in the middle. This is the first hire in a function we intend to build. You report to the CEO, you'll work directly with the founders and the revenue leadership team, and you'll define how customer success works at Giga before anyone else joins it. This is not an FDE role and it's not a renewals desk. You won't be digging through tickets to find the root cause; the FDEs do that. You will know that something needs fixing, what it's costing the customer, and when it has to be done, and you'll drive it there. You'll also be the one telling customers what we're shipping and where the next use case is. When that turns into a real deal, the Enterprise Sales Representative comes back in to run it with you. You own usage and the timeline, they own paper. A few examples from our current roadmap: • Build the per-account plan from go-live to the annual minimum and beyond: which intents and channels go live in which month, what volume each one carries, and what has to be true on the customer's side and ours for each date to hold. Track it weekly and act when a week goes flat., • Keep the customer's team moving on scope expansion, volume routing, and the approvals that slow them down. Internally, when a product bug or a missing capability is blocking a customer's next step, get it prioritized with FDEs and Product, hold the date, and tell the customer the truth about it., • When something breaks in production, you're the customer's single point of contact. You know what's broken and what it's costing them, you pull in the right FDE, you own the communication up to the customer's executive, and you stay on it until volume is back., • Pitch customers on what we're shipping and where the next use case is in their operation. Mine conversation data, Agent KPIs, and their queue metrics to find it, quantify the savings, and get their operating leader interested. When it turns into a real opportunity, bring the Enterprise Sales Representative back in and run it together., • Run monthly value reviews and quarterly business reviews with the customer's VP or SVP of Customer Care, Operations, or CX, with our CEO and founders in the room when it matters. The output is a bigger volume plan with dates on it, not a satisfaction score., • Work with RevOps to get usage against commit, and the blockers behind it, in front of the whole revenue org in Salesforce every week. As the first Customer Success hire at Giga, you'll be expected to build the playbook, not inherit one, and to show the CEO what the function should look like at 30 customers. You own a book of roughly 10 production customers and you're paid on two things: every customer in it reaching full value on their commitment, and the book growing past it. • Gross revenue retention. Every customer in your book consumes their full contracted commitment and renews at or above it. This is the floor, and it's most of the variable., • Net revenue retention. Usage above commit, new intents, new channels, new lines of business. You find it, quantify it with the customer, and hand a qualified opportunity to the Enterprise Sales Representative to close. They carry the quota credit, you get NRR credit when it lands., • Time from production go-live to run-rate consumption, weekly usage against the ramp plan, and executive engagement on each account. Compensation is $200,000 to $250,000 on-target earnings depending on experience, split 75% base and 25% variable, plus equity. Variable is paid quarterly, weighted 70% gross revenue retention and 30% net revenue retention across your book, with accelerators above target. Here's how the number works. Every account in your book has an annual minimum commitment. We divide it into quarterly expected usage, adjusted for the ramp we agreed with the customer at signing, and those quarterly numbers add up to your book target. The GRR component pays on actual usage against that target and on renewals at or above commit. The NRR component pays on usage above commit and on expansion closed in your book, whether or not you sourced it. The Enterprise Sales Representative carries the quota credit on expansion; you earn the NRR credit when it lands. You Might Be a Fit If You: • Have 5+ years in customer success, technical account management, or account management at a company priced on usage or consumption (API platform, CCaaS, cloud data, AI platform), and have personally carried a consumption, NRR, or utilization number., • Have taken a customer from go-live to full value on a commit, and past it, and can walk us through it: the number, where it stalled, what you did, what it ended at., • Read usage data yourself. You build the burn-down, you spot the flat week, and you know why before anyone asks. SQL or serious spreadsheet fluency., • Speak contact center. Containment, resolution rate, CSAT, AHT, transfer rate, QA scoring. You understand how a VP of Customer Care decides to route more volume to an AI agent, and what makes them stop., • Can run an executive relationship at a Fortune 1000 (VP or SVP of CX, Operations, or a COO) and a working relationship with their ops and IT teams in the same week., • Have quarterbacked a cross-functional timeline before: a customer expansion, a migration, a launch, where half the blockers were on your side of the house. You pushed engineers and product on dates without doing their jobs, and you told the customer the truth when a date moved., • Are comfortable in the seam between engineers and sellers. You've run production escalations with an unhappy customer on one side and an engineer on the other, and kept both. You know the difference between knowing what needs fixing and fixing it, and you stay on your side of that line., • Would rather ship a ramp plan this week than perfect a QBR deck. High tolerance for ambiguity, low need for process handed to you., • Use AI tools every day and have worked hands-on with AI agents (voice or chat) in production. You can read a conversation log and tell the FDE what the customer is experiencing, even if you don't know why yet. Nice to Have: • Came from a company that pays customer success on consumption (Snowflake, Databricks, Twilio, Deepgram, ElevenLabs, Anthropic, OpenAI, or similar)., • Have sold or expanded conversational AI, CCaaS, or contact center automation into insurance, financial services, airlines, retail, or restaurants., • Have run value reviews that quantified savings and turned directly into a larger commitment. Perks & Benefits: • $200K to $2

Job Description Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As an Trading Operations Associate, you will provide high-quality support to enterprise-level clients, addressing issues related to order entry, execution, best ex, trade surveillance and high-touch order handling. You will build and maintain strong relationships, proactively monitoring client trading activity to ensure smooth operations. Collaborating with trading operations desks, IT, and compliance teams, you'll resolve issues and offer relevant market insights. Additionally, you will ensure all trading activities comply with regulatory requirements while identifying and addressing potential risks. Your role will also involve gathering client feedback to enhance services and tools. Key Responsibilities: Customer Support: • Deliver high-quality support to enterprise-level clients through various channels (phone, email, chat)., • Investigate and resolve issues related to account management, order entry, processing, execution, FIX sessions, and OMS functionality., • Assist clients with troubleshooting and technical issues to ensure seamless operations. Trading Services: • Monitor client accounts and trading activity for anomalies, providing timely alerts and support as necessary., • Stay informed on market developments and trading infrastructure to offer relevant guidance and insights to clients., • Monitor corporate actions, including dividends, stock splits, mergers, and other events, ensuring accurate and timely communication and resolution. Collaboration and Feedback: • Work closely with trading desks, operation, IT, and compliance teams to address and resolve client issues efficiently., • Collect client feedback and share insights with product development and management teams to refine services and tools. Compliance and Risk Management: • Ensure all client interactions and trading-related activities adhere to regulatory requirements and internal policies., • Proactively identify and address potential risks associated with client operations and trading processes. Qualifications: • Bachelor's degree in Finance, Business Administration, Economics, or a related field., • At least 2-3 years of experience in brokerage operations, trading, or a related field., • Proven experience in customer support, relationship management, and trading services., • Demonstrated experience with trading platforms and equities trading and familiarity with FIX protocol. Options experience is a plus., • Must either possess FINRA series 7, 63 or local equivalent with a willingness to obtain in the first 6 months., • Strong communication and interpersonal skills, with the ability to build and maintain client relationships., • Excellent English written and verbal communication skills to interact with internal and external stakeholders., • Proficient verbal communication skills in a language other than English. French, German, or Arabic are a plus., • Ability to work independently, manage priorities, and meet deadlines in a fast-paced environment., • High ethical standards and a commitment to maintaining confidentiality.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500, • Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

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