--- title: 'Product Marketer at Samaya AI' canonical: 'https://feeny.ai/job/product-marketer-samaya-ai-mountain-view-california-z2172fha2gsx' type: 'job' last_seen: '2026-09-11' --- # Product Marketer at Samaya AI - **Company:** Samaya AI - **Location:** Mountain View California, United States - **Posted:** 2026-06-01 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/samayaai/jobs/5151026007 ## Job description ## Role We’re looking for a Product Marketer to help bring Samaya’s products to market for a highly technical enterprise audience across AI, data platforms, and finance. You’ll play a central role in translating complex product capabilities into clear, credible messaging for customers, prospects, and internal teams. This role will own core product marketing work across feature launches, positioning, messaging, email and communications cadence, social media support, and enablement content. The right candidate will be both strategic and hands-on: someone who can create structure out of ambiguity, partner closely with Product, Engineering, GTM, and leadership, and move quickly without sacrificing quality. We’re looking for someone who is creative as well as analytical, with strong judgment, excellent communication skills, and the range to contribute beyond a narrow product marketing lane as the marketing function continues to grow. This is a hands-on individual contributor role with potential to grow into people management over time. ## Responsibilities - Own product launches - lead end-to-end product marketing for feature and product launches, from positioning and messaging through rollout, adoption, and follow-up - Shape the story - translate complex technical product concepts into simple, credible narratives for technical, commercial, and executive audiences - Partner cross-functionally - work closely with Product, Engineering, GTM, and leadership to bring new features and capabilities to market - Build launch assets - create launch plans and supporting materials across email, social, internal enablement, customer-facing content, and sales support - Develop enablement - build materials that clearly communicate product value, use cases, differentiation, and customer relevance - Bring market insight - gather customer, market, and competitive insights to sharpen messaging and improve go-to-market execution - Analytically minded - you know that events are not just vibes, you not only setrack success metrics, and how to evaluate event effectiveness and ROI - Use AI fluently - test and apply AI tools and workflows to improve the quality and speed of research, messaging, launches, and content development - Support broader marketing priorities - contribute across content, campaigns, customer storytelling, and other high-impact go-to-market initiatives as the team evolves ## Experience Required - Product marketing experience - 8+ years of experience in product marketing or closely related roles - Technical product depth - proven success marketing highly technical products to enterprise audiences - Launch ownership - strong ownership of feature or product launches in fast-moving software companies where you have owned everything from creative to metrics - Relevant category experience - experience in AI, financial services, data platforms, infrastructure, developer tooling, analytics, or similarly technical product categories - Clear communication - strong written and verbal communication skills, with the ability to tailor messaging for both technical and business audiences - Technical translation - a track record of turning complex technical concepts into clear, compelling, and credible messaging - Asset creation - strength in building high-quality launch materials, emails, enablement content, customer-facing materials, and other go-to-market assets - Cross-functional partnership - proven ability to work effectively with Product, Engineering, Sales, Marketing, and leadership - Startup operating style - comfort operating with pace, ambiguity, and high accountability in a fast-moving environment - AI fluency - demonstrated AI fluency in a concrete way, such as building, testing, or integrating AI-driven workflows into how you work ## Preferred - AI and enterprise software experience – experience marketing products in AI, data infrastructure, analytics, developer tools, or other technical enterprise software categories - Financial services exposure – familiarity marketing into financial services, investment firms, or highly analytical end-user audiences - Broad marketing experience – experience contributing across content, campaigns, customer storytelling, and sales enablement - People leadership experience – prior experience managing people or mentoring teammates in a fast-moving environment Personal Attributes - Resourceful and proactive - you thrive in lean environments, spot what needs to be done, and move work forward without waiting for perfect direction - Creative and Analytical - you love being creative but you know you have to measure for it to count - you are metrics oriented with a healthy dose of right brain - Strong communicator - you can make technical ideas understandable without oversimplifying them - Curious - you take time to understand the product, the customer, and the market because the “why” matters to your work - Sound judgment - you know when to decide, when to escalate, and how to keep stakeholders aligned - Highly adaptable - you’re comfortable moving across product marketing, content, enablement, campaigns, and broader marketing needs - Commercially aware - you understand how messaging, launches, and enablement connect to go-to-market outcomes - Leadership-oriented - you may have managed people before, or you’re interested in growing into people leadership over time ## Compensation The cash compensation range for this role is $150,000-$200,000. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amount listed above. Equity components may also be considered as part of the overall compensation package. ## Benefits Health: Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability. Wealth: Support for your long-term financial wellbeing with a 401(k) and pre-tax benefits. Rest: Enjoy flexibility to rest and recharge as needed, with unlimited PTO. Flexibility: Work flexibly with a hybrid setup, with team members typically spending a minimum of three days in the office per week. Travel: Grow and connect with a travel budget that supports conferences, customer visits, and team gatherings. Equipment: Create your ideal workspace with an equipment allowance to support how you work best. Inclusive Hiring Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us. Equal Opportunity Employer: We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Visa Sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. ## About Samaya Samaya AI builds Expert AI Agents for investment professionals, supporting high-stakes investment workflows across leading financial institutions. By combining finance-specific AI models with deep reasoning over institutional context and global markets, Samaya helps investors go from information to conviction. Samaya is deployed at enterprise scale across hedge funds, asset managers, and banks, including more than 12,000 professionals at one of the world's largest financial institutions. Built by a team from Google DeepMind, Meta, Microsoft, and Stanford with 100+ papers and 50k+ citations, it achieves 98% accuracy on financial reasoning tasks where generic LLMs reach 53%. Backed by leading AI investors including NVIDIA, Databricks Ventures, NEA, Eric Schmidt, and Yann LeCun, Samaya continues to advance the next generation of AI for investment professionals. Our Operating Principles Put Users first. Our users rely on us to do their jobs. We exist because our users trust us to help them achieve their goals. In return for this trust users place in us, we keep their needs as our top priority. Win as a collective. We are high achievers with a drive to succeed. We build strong bonds over this shared drive. We dive in to help when one of us needs it. We’re kind to each other and boost each other to succeed and grow professionally and personally. We build trust with each other by making commitments and consistently delivering on them. This trust means we genuinely support each other, embracing feedback as a tool for growth and improvement. We win by operating this way, as one team. Focus and iterate quickly. Bias for action makes us build and learn quickly. Iterating fast requires clarity on what outcomes we are targeting and why. Prioritizing the important things, taking full ownership and initiative, making fast initial progress, and rapid iterations lead to the best outcomes. Innovate Relentlessly. We pursue novel insights, challenging the status quo and reimagining how things are done. We aren’t attached to the past when improving our product and how we work in the future. We actively invest time in innovation, thinking “outside the box” to consistently raise our standards. Prioritize Outcomes over Egos. We are committed not to a person, an idea, or an opinion but to continuously making progress to our goals. Sometimes, our goals are ambiguous; in those moments, we iterate, learn, and move on to the next inquiry. We ask the tough questions with kindness, dropping our egos in our pursuit of evidence. For our business goals, we learn from our users. For our scientific goals, our understanding is built through rigorous experimentation, research, and observation. For our personal goals, we embrace candid feedback and collaborative learning to guide our progress. ## About Samaya AI ## Company Overview - **One-liner**: Samaya AI builds expert AI agents for financial services, turning real-time global market information into investment conviction for professionals at leading banks, hedge funds, and asset managers. - **Entity Type**: Private (Series A / Growth Stage) - **Headquarters**: London, United Kingdom (with US headquarters in Mountain View, California) - **Founded**: 2022 - **Founders**: Maithra Raghu, PhD (CEO), Fabio Petroni (Co-Founder), Ashwin Paranjape, PhD (Founding AI Lead) ## Core Business - **Primary industry**: AI-powered financial technology (FinTech / Enterprise AI) - **Target customers**: B2B – bulge-bracket banks, hedge funds, private equity firms, wealth managers, investment banks, and sell-side research teams - **Mission / Purpose**: Reimagine investment decision making by enabling a new level of human-AI collaboration, empowering every investor with trusted, domain-expert AI agents that are reliable, instructable, and able to seamlessly zoom in and out of global market complexity. ## Products & Services - **Expert AI Agents** – Domain-specific AI agents that answer questions, generate financial models, reports, and presentations. They automate complex multi-step workflows (e.g., earnings analysis, scenario modelling, market monitoring) with 96% accuracy (vs. 57% for leading GPT-based systems), auditable logs, and real-time data integration. - **Agent Control Plane (ACP)** – A purpose-built architecture launched in February 2026 for designing, running, and governing custom AI agents. It includes a Planner, Long Horizon Executor, Memory module, Reasoning module, and Context Management, allowing users to tailor agents via natural language and maintain transparency. - **Workflow templates** – Pre-built agents for Hedge Funds, Private Equity, Investment Banking, Sales & Trading, Wealth Management, and Sell-Side workflows, integrating internal enterprise data with external content. ## Market Standing - **Valuation / Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding raised – $43.5M (as of Feb 2026) - **Notable Investors / Partners**: New Enterprise Associates (Series A lead), NVentures (NVIDIA’s venture arm), Databricks Ventures. Morgan Stanley is a reference client with over 10,000 seats deployed. - **Growth Signals**: Deployed across 10,000+ seats at one of the world’s largest banks; won competitive pilots against 40 vendors at a top-5 hedge fund; team has 33 employees (+2.9% monthly growth); presence across US, UK, Italy, Australia; recently launched the Agent Control Plane with new investment from NVentures and Databricks. ## Competitive Advantages - **Superior accuracy**: Independent benchmarks show 96% accuracy vs. 57% for GPT-based tools, thanks to a proprietary LLM engine and finance-specific models. - **Domain depth**: Founders and team bring experience from top AI labs (Google DeepMind, NVIDIA, etc.) and over 100 research papers / 50,000 citations. - **Operational transparency**: SOC 2 compliant, sandboxed VMs, granular permission management, full audit logs, and isolated execution environments. - **Proven enterprise traction**: Already in production at a bulge-bracket bank, with multi-division adoption (Research, Sales & Trading, Banking). ## Strategic Focus - **Scale the Agent Control Plane (ACP)** as the “institutional intelligence layer” for financial services. - **Expand customizable AI agents** for new workflows and geographies, leveraging new investment from NVIDIA and Databricks. - **Deepen integration** with enterprise data and external sources to support high-stakes, compliant decision-making. - **Grow the team** to accelerate product development and client deployments. ## Why Work Here - **Culture**: Diverse, collaborative team with thoughtful leadership and a clear product vision. The careers page emphasizes respect, curiosity, trust, and sustainable growth. - **Work model**: Hybrid – typically minimum three days per week in the office (London or Mountain View). - **Perks & benefits**: - Comprehensive health insurance (medical, dental, vision, FSA, short-term disability) - 401(k) and pre-tax benefits (e.g., commuting) - Unlimited PTO - Office equipment allowance - Travel budget for conferences, customer visits, and team gatherings - **Engineering culture**: Strong AI-first focus; team includes former members of Google DeepMind, NVIDIA, Meta, Amazon Web Services, and top universities. Opportunities to work on cutting-edge AI agents for high-stakes finance. ## Sources 1. [Samaya.ai](https://samaya.ai/) 2. [Samaya.ai/about](https://samaya.ai/about) 3. [Samaya.ai/careers](https://samaya.ai/careers) 4. [LinkedIn - Samaya AI](https://www.linkedin.com/company/samaya-ai) 5. 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