TLDR Media Logo

TLDR Media

GTM Engineer, Applied AI

Posted Yesterday
Remote
Hiring Remotely in USA
175K-205K Annually
Mid level
Remote
Hiring Remotely in USA
175K-205K Annually
Mid level
Own TLDR's GTM systems end-to-end: HubSpot administration, attribution, pipeline data integrity, automations, system evaluations, and monitoring. Build dashboards and alerting, diagnose recurring issues, decide between quick-fixes or re-architecture, ship automations and agent workflows, and document operational runbooks. Partner with Applied AI to apply AI to GTM problems like attribution.
The summary above was generated by AI
Who We Are

🏔Product: TLDR exists to increase tech's signal-to-noise ratio. Where we're going: to be tech's intellectual Schelling point - where the future starts its day.

Today that means the largest network of tech newsletters in the world, with over 8M subscribers covering startups, software engineering, AI, cybersecurity, product, and more. What makes it work is who writes it. Every issue comes from people building in tech, not reporters covering it. Our writers keep their day jobs: two engineers at Coinbase write TLDR Crypto, engineers at DeepMind and Meta write TLDR Dev, researchers at Anthropic and Adobe write TLDR AI, and robotics and datacenter strategy leads at OpenAI and Meta write TLDR Hardware.

If it matters in tech, it's in TLDR. That's what makes TLDR the best place to find what you need to learn.

💪Team: Our 29-person full-time team includes alumni of TikTok, Reddit, Amazon, Business Insider, Asana, Morning Brew, and Pinterest. We've stayed intentionally small, which means every person here owns a function rather than a slice of one.

📈Traction: We're bootstrapped, profitable, and on track for $35M in revenue this year - after $9M in 2024 and $20M in 2025. The advertisers who fund it want tech's decision-makers: AWS, Google Cloud, Anthropic, Slack, Notion, and GitHub.

About the Role

The Go-to-Market Engineer owns TLDR's GTM systems end-to-end: the input and interface layer where our team interacts with the revenue stack. This is a building role, not just maintenance - you'll decide what's worth quick-fixing, automating, or re-architecting, and bring an AI-first lens to problems RevOps teams have historically solved by hand. The role sits inside Applied AI, giving you real autonomy over a revenue-critical domain and a seat close to how TLDR builds AI into its GTM systems, work that directly supports our ~$35M FY26 revenue target.

In this role, you will:

  • Own GTM systems end-to-end: HubSpot administration, attribution, quota updates, new-product launches, quarter-over-quarter transitions, and CSAT plumbing.

  • Own data integrity: build pipelines right and keep fields accurate and flowing downstream.

  • Diagnose recurring problems, decide whether to quick-fix, automate, or re-architect, and build the fix.

  • Evaluate net-new systems (e.g., Sponsy alternatives) and recommend a path forward.

  • Bring an AI-first lens to classic RevOps problems like attribution, and partner with the Head of Applied AI on the broader AI × GTM operating model.

What Success Looks Like

In your first 6 months:

  • You're the single accountable owner of the GTM systems ring, with the contractor-held work transitioned to you.

  • You've built the data-integrity layer - dashboards on field completeness and pipeline health, with alerting on top so no one checks by hand.

  • You've shipped your first wave of automations and agent workflows, each with monitoring attached.

  • You've documented it - fix-it procedures good enough that a break doesn't require you.

About You
  • Main background: 4–6 years owning GTM systems at a B2B SaaS or B2B tech company - ideally from an early-stage (Series B–C) environment where you ran GTM systems end-to-end as a single owner

  • Primary skills: HubSpot ownership beyond admin; strong critical thinking and consultant-style communication; a product mindset for solution design balanced with pragmatic urgency; root-cause diagnosis paired with quick, clear proposals; hands-on data-integrity ownership (pipeline monitoring, field population, accuracy).

  • Secondary skills: Fluency in what AI-first GTM systems look like, applying AI to problems like attribution; familiarity with how APIs and integrations work.

  • Nice-to-haves: SQL

You’ll Thrive Here If You…
  • Want full ownership of a revenue-critical domain, with real autonomy and accountability, not just a task list.

  • Are comfortable operating without a paved playbook, this role has more ambiguity than structure.

  • Want to sit inside an Applied AI/engineering-focused team rather than a traditional RevOps team, and help define what GTM systems look like in an AI-native org.

Why You'll Love It

🤑Compensation: $175,000 - $205,000 + annual company performance bonus

🌎Location: We're 100% remote across the US and Canada. Work where you want - our bands are set to tier-1 city rates wherever you live.

🤝Team Events: Biannual team offsites. Most recently we’ve gone to New Orleans, San Diego and Park City!

🏝️Time to Recharge: Flexible PTO. Most of the team takes 2–3 weeks a year, plus holidays.

🏥Health Benefits: Comprehensive medical, dental and vision benefits with a 100% paid option

📈401(k) Plan: Empower 401(k)

🍼Paid Parental Leave

💻Home Office Stipend: Whatever makes you productive - standing desk, second monitor, chair, walking pad.

🔰Learning & Development Stipend: For anything that makes you better at your work, and for AI tools especially. Don't ration your tokens.

📥 If you're ready to make a tremendous impact at a bootstrapped and profitable startup, please apply. Please let us know if you need any accommodation during any part of the interview process.

Press and Publications
  • Inc story on how TLDR was founded

  • Pricing and demographic information in TLDR’s latest media kit

Similar Jobs

6 Minutes Ago
In-Office or Remote
101K-144K Annually
Senior level
101K-144K Annually
Senior level
Artificial Intelligence • Cloud • Healthtech • Software
Lead pre-sales for an AI healthcare SaaS platform: design and deliver tailored demonstrations, advise provider leaders, map solutions to operational KPIs, support pilots/RFPs, and drive integration and deployment planning with enterprise stakeholders.
Top Skills: EhrEnterprise Demo EnvironmentsHrisOperational Analytics PlatformsPayroll SystemsScheduling SystemsStaffing Systems
6 Minutes Ago
In-Office or Remote
2 Locations
85K-121K Annually
Mid level
85K-121K Annually
Mid level
Artificial Intelligence • Cloud • Healthtech • Software
Serve as a Laudio platform expert and hands-on trainer/coach to drive user adoption, onboarding, and satisfaction. Own utilization metrics for a client portfolio, develop outreach strategies, create training content and materials, escalate user feedback to Product, and partner cross-functionally to optimize processes and demonstrate platform value. Travel to support primarily New York clients.
Top Skills: ChatgptCo-PilotCRMHubspotLmsMixpanelOffice365SaaS
6 Minutes Ago
In-Office or Remote
PA, USA
154K-220K Annually
Senior level
154K-220K Annually
Senior level
Artificial Intelligence • Cloud • Healthtech • Software
Lead strategic, post-sale relationships for assigned hospital and health system clients to drive adoption, satisfaction, renewals, expansion, and ROI. Build account plans and client scorecards, run executive partnership reviews, coordinate cross-functional delivery, capture customer voice for Product, and lead commercial negotiations while meeting utilization, NPS, and revenue targets.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account