Product Evangelist | GTM Engineer

SageOx•Seattle, WA

81d•Onsite

About The Position

SageOx is building a new product and category called the hivemind for human-agent teams, designed to address the fragmentation of context across various AI-driven surfaces like prompts, coding agents, assistants, and automations. This role is for a market-building specialist who will own the loop from customer conversation to experimentation and measured learning. It's an early, hands-on position with significant influence over positioning, distribution, integrations, and the product roadmap, working closely with founders to develop the narrative based on customer and ecosystem feedback. The primary mission is to establish SageOx's market presence by building and running the demand engine, encompassing content, channels, community, outbound efforts, experiments, and underlying tooling. The ideal candidate is a GTM Engineer passionate about building at the cutting edge of AI, who can engineer the systems that spread the company's message. This role requires deep alignment with SageOx's mission and culture, acting as an extension of the founding team in public, with a company-first orientation. It's a high-impact, high-agency role with significant autonomy, allowing the individual to set strategy, work across functions, and own problems end-to-end directly with leadership.

Requirements

2–7 years of experience in software engineering, solutions engineering, technical marketing, or growth.
A builder instinct and a willingness to experiment until the target is hit.
Deep, hands-on fluency with AI, using AI models and agent frameworks daily, and using AI to scale personal work.
Technical proficiency to comfortably work with AI tools, AI coding agents, MCP, integrations, analytics, and modern AI development workflows.
Experiment-mindedness: ability to think creatively, make parallel bets, and pick winners; comfortable discussing hypotheses, baselines, and results.
Deep customer empathy: genuine desire to understand and solve customer problems.
Clear communication skills via writing, video, or practical projects; ability to explain technical products through concrete workflows.
Strong sense of ownership: owning outcomes, making things happen with limited resources, and demonstrating strong direction and prioritization in an ambiguous startup environment.
Cultural fit: ships fast, tolerates public failure, measures, iterates, needs direction not supervision, embraces transparency, and focuses on team wins.
Connected to the builder scene in San Francisco, Seattle, and online.
Mission & culture alignment: belief in SageOx's mission to build the hivemind for human-agent teams, with a company-first orientation.

Nice To Haves

Experience in a similar role at an early-stage startup.
Experience building and scaling a go-to-market function.
Experience with community building and developer relations.

Responsibilities

Learn — own the customer and market loop by talking directly with founders, engineers, product teams, and other agent-heavy builders to understand context loss and prior solutions.
Map the territory around the ideal customer, identifying surrounding tools, communities, search terms, adjacent products, and workflows.
Act as the tip of the spear for market feedback, spending time on social media and in communities to engage, identify trends, and relay feedback from prospects and ecosystem players.
Create a steady customer-learning cadence and make findings legible to product and engineering.
Evangelize — turn learning into voice by running the content machinery, transforming insights, customer stories, and features into regular posts (X threads, short videos, longer pieces).
Translate customer conversations into precise positioning inputs, demos, tutorials, comparison pages, workflow documentation, case studies, and product feedback.
Serve as the team's external voice engine, turning internal insights and experimental ideas into public communication.
Amplify founders by identifying high-impact platforms, podcasts, and moments for them to engage with relevant audiences.
Run community marketing initiatives, including launches, dev-influencer collaborations, and hackathons, measured by signups.
Own event presence and help develop SageOx's presence in Seattle and San Francisco builder communities.
Dogfood SageOx daily and evangelize from lived use.
Build AI-powered tools and agents for business functions like prospecting automation, lead scoring, enrichment, and customer-facing utilities/demos.
Develop lightweight technical assets such as integrations, MCP-based workflows, public utilities, templates, and examples.
Build the outbound engine by identifying agent-building teams, surfacing internal champions, and automating personalized outreach.
Automate the GTM stack by integrating CRM, data sources, and the onboarding funnel.
Build repeatable agent-assisted workflows for research, monitoring, drafting, outreach, and reporting.
Experiment — measure, decide, systematize by running small distribution experiments across various channels (developer communities, events, content, integrations, partnerships, outbound).
Own the end-to-end experiment process: hypothesis formation, building, shipping, measuring, and deciding to kill or scale.
Instrument everything by defining activation and conversion signals and making decisions based on data.
Turn wins into playbooks by identifying bottlenecks, automating solutions, and making winning plays repeatable.