Technical Product Marketing Manager

WisdomAI; San Mateo (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

WisdomAI is seeking a Technical Product Marketing Manager to bridge engineering depth with storytelling. You’ll work with data engineers to understand warehouse models and governance, then craft messaging, demos, and content that resonates with analytics leaders and CFOs.

You’ll own launches, develop reference use cases, and build technical narratives that support multi‑channel campaigns and competitive positioning.

Qualifications

• Minimum 5 years in Product Marketing, Technical Product Marketing, or related GTM role in Data/Analytics/AI software.
• Genuine technical fluency: SQL, data models, semantic layers, and architecture literacy.
• Hands-on ability to build and translate technical concepts into messaging, demos, and content.

Responsibilities

• Own end-to-end launches for major features, capabilities, and platform releases.
• Build pitch decks, playbooks, FAQs, and customer stories aligned to the tech stack.
• Create multi-channel launch programs with product, engineering, design, and marketing.
• Produce technical content: architecture explainers, blogs, and video walkthroughs.
• Enable sales and Solutions Engineering with credible, technically-grounded messaging.

Skills

SQL

Data models

Semantic layers

Architectures

Technical storytelling

Tools

Snowflake

Databricks

BigQuery

AWS

Power BI

Tableau

Looker

Sigma

dbt

Job description

We are WisdomAI.

We exist to help people unlock clarity from complexity. WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context.

We are WisdomAI.

We exist to help people unlock clarity from complexity. WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context. We’re trusted by companies like Cisco, Patreon, and Rubrik — and we’re just getting started. The problems here are hard, and the expectations are high. Our team is energized by both. If you’re compelled by ambitious problems, high standards, and meaningful ownership, you’ll thrive here.

About WisdomAI

WisdomAI is the Agentic Analytics platform for trusted enterprise intelligence. WisdomAI encodes a company's metrics, business semantics, and access rules as governed context, builds and maintains that context automatically, and reasons over it with a harness that makes every answer consistent and verifiable. Founded in 2023, WisdomAI delivers trusted answers across Chat, Dashboards, Apps, Agents, and embedded experiences, and powers assistants like Claude and ChatGPT headlessly.

We are backed by Kleiner Perkins, NVentures, Coatue, Madrona, GTM, and Menlo Ventures, and we are building a world-class team to scale the category we’re creating.

Role Overview

We're looking for a Technical Product Marketing Manager who is equal parts engineer-brain and storyteller — someone who can sit in a working session with a data engineering team, understand how they model, govern, and query their warehouse, and then turn that understanding into messaging, demos, and content that moves analytics leaders, data teams, and business users to adopt WisdomAI.

This is a hands‑on, technical seat. You'll go deep on the product and the stack around it — warehouses, semantic layers, BI tools, agentic AI — and be the person who can both build the demo and write the narrative that frames it on Monday, and later the same week write the technical white paper or jump on a sales call to handle a competitive objection with the data team. You'll be a full-stack product marketing, working across product launches, website content (product, solutions, industry), technical enablement, campaigns, and competitive strategy.

As we build the team there will be room for increased specialization. Today, as a Series A company moving fast, we need a "get it done" team player who is low on ego and high on agency, with a real passion for collaboration across Product, Engineering, Sales, and Success.

What You Work On

• Technical Positioning & Messaging
• 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.
• Technical Audience Research & Insights
• 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.
• Product Launch Strategy
• 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.
• Video Demos, Technical Content & Proof
• 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.
• Competitive & Market Intelligence
• 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.
• Sales & GTM Enablement
• 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.
• Content Strategy & Thought Leadership
• 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.
• Cross‑functional Partnership
• 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.

What You Bring

• 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