Technical Product Marketing Manager

Wisdom AI•San Mateo, CA

About The Position

WisdomAI is seeking a Technical Product Marketing Manager who possesses a blend of engineering acumen and storytelling ability. This role requires a deep understanding of data engineering workflows, including data modeling, governance, and querying, to create compelling messaging, demos, and content that resonates with analytics leaders, data teams, and business users. The position is hands-on and technical, involving in-depth product knowledge and understanding of the surrounding technology stack, including warehouses, semantic layers, BI tools, and agentic AI. The successful candidate will be responsible for creating demos, developing narratives, writing technical white papers, and handling competitive objections. This is a full-stack product marketing role encompassing product launches, website content, technical enablement, campaigns, and competitive strategy. As a Series A company, WisdomAI needs a "get it done" team player with low ego, high agency, and a passion for cross-functional collaboration with Product, Engineering, Sales, and Success.

Requirements

Minimum 5 years in Product Marketing, Technical Product Marketing, or an adjacent technical GTM role (Solutions Engineering, Analytics Engineering, Technical Evangelism) in Data, Analytics, BI, or AI software — Snowflake, Databricks, BigQuery, AWS, Power BI, Tableau, Looker, Sigma, Omni, dbt, or similar.
Genuine technical fluency: you can write SQL, reason about data models and semantic layers, read a reference architecture, and hold your own in a conversation with a data engineer.
Hands-on ability to build and run your own demos and technical content without waiting on an SE.
Working understanding of LLM- and agent-based systems and how they get evaluated for accuracy, trust, and governance in an enterprise data context.
Proven ability to break down complex AI and data concepts into clear, concise messaging.
Portfolio of GTM assets: pitch decks, competitive teardowns, launch plans, demo narratives, and technical content aimed at user, manager, and executive buyers.
Experience partnering with product and sales teams in fast-moving environments.
Strong research muscle: customer interviews, workflow mapping, persona creation, competitive analysis.
A bias for clarity, speed, and narrative excellence.

Responsibilities

Build and evolve WisdomAI's core messaging anchored in data team workflows and technical realities, not feature lists.
Translate how the product actually works — context engineering, semantic modeling, query generation, agent reasoning, governance, deployment — into value propositions that land with both a data architect and a CFO.
Maintain the messaging hierarchy that keeps product, sales, and marketing telling one consistent story.
Run continuous qualitative and quantitative research with data engineers, analytics engineers, BI owners, and platform architects to map workflows, tooling, pain points, and decision criteria.
Build and maintain personas and ICP definitions (analytics leaders, BI/platform owners, data engineering, RevOps, FP&A, product teams).
Serve as the internal expert on how technical buyers evaluate, pilot, adopt, and expand — including what happens inside a POC or bake-off.
Own end-to-end launches for major features, capabilities, and platform releases.
Pair every launch narrative with the technical substance that makes it credible: architecture explainers, docs-quality feature detail, demo flows, and reference use cases.
Partner with Product, Engineering, Design, and Marketing to deliver multi-channel launch programs.
Build and maintain the video demo assets, sample datasets, and reference scenarios that show the product doing real work on realistic data.
Produce technical content that earns credibility with practitioners: solution briefs, architecture and integration explainers, benchmark and evaluation write-ups, technical blogs, and video walkthroughs.
Partner with Solutions Engineering to turn repeatable POC patterns into reusable, scalable assets.
Maintain a live view of how competitors — legacy BI, modern BI, warehouse-native AI, and AI analytics startups — actually solve problems for the same audience.
Build "Why Wisdom vs. X" narratives grounded in architecture, workflow, and outcomes, backed by hands-on teardowns and head-to-head evaluation where possible.
Enable Sales, SE, and Product with competitive insight that holds up under technical scrutiny.
Build pitch decks, playbooks, objection handling guides, technical FAQs, and customer stories aligned to the real-world stack our audience runs.
Equip Sales, Solutions Engineering, and Customer Success with the messaging, proof points, and demo narratives they need to win technical evaluations.
Develop full-funnel content that shows how WisdomAI improves the whole workflow: Analytics → Insights → Decisions → Actions → ROI.
Collaborate with the Head of Product Marketing and company leaders to articulate our category POV.
Cover the broader interests of the data and analytics audience — not just our feature set.
Act as the connective tissue between Product, Engineering, Sales, Success, and Marketing.
Bring the voice of the technical customer into roadmap, positioning, and prioritization.
Ensure customer feedback, audience insight, and competitive intelligence flow across the company.