Product Marketer at SAMAYA AI INC

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

200000.0

Posted On

01 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Product Marketing, Technical Messaging, Go-to-Market Strategy, Product Launches, Sales Enablement, Market Analysis, Competitive Intelligence, AI Fluency, Cross-functional Collaboration, Content Creation, Technical Translation, Analytical Thinking

Industry

Software Development

Description

Role We’re looking for a Product Marketing Manager to help bring Samaya’s products to market for a highly technical enterprise audience across AI, data platforms, and finance. You’ll report to the Head of Marketing and 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 builds Expert AI Agents that turn information from the global financial market into investment conviction. The global financial market is the largest and most valuable information ecosystem in the world, connecting billions of people, influencing every type of productive human activity, and driving tens of trillions of dollars of value. At its core is investment decision-making: identifying areas of productive activity, allocating resources, carried out by millions of people across the globe. But that process is at a breaking point. The past two decades have brought an exponential increase in market complexity: more information sources, more asset types, more disruptive themes like AI reshaping every corner of the market. For investors, this means exponentially more depth, breadth, and speed required on every decision. The response is a forced tradeoff: zoom in on a sector or basket of companies and manage the flood, but lose sight of adjacent dynamics that move markets. Or zoom out to track broad themes, but lose the needle-in-a-haystack details that drive precise decisions. No market sector evolves in isolation, and this lack of a simultaneously zoomed-in and zoomed-out picture costs hundreds of billions in missed or suboptimal investment decisions every year. Samaya was founded to reimagine investment decision-making across the global financial market. General-purpose AI can’t reason about cause and effect across complex economic systems, embed firm-specific context, or execute reliably over long-horizon workflows. We built something different: a purpose-built AI system combining proprietary financial reasoning models, a long-horizon execution engine with persistent memory, and full auditability. 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%. The result is AI that learns how each investor thinks and seamlessly takes them from information to conviction. Our user base has scaled to 10,000+, with partnerships spanning top financial institutions worldwide, including Morgan Stanley. We’re backed by $43.5M in Series A funding led by NEA, with investors including Eric Schmidt, NVIDIA, Databricks, Yann LeCun, Jeff Dean, Marty Chavez, and Mark Cuban. 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.

Responsibilities

Lead end-to-end product marketing and launches for technical AI and financial products, translating complex capabilities into clear narratives. Develop launch assets, enablement materials, and gather market insights to drive adoption and GTM execution.