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Netic

Deployment Strategist

Reposted 9 Days Ago
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In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
The Deployment Strategist will manage high-value customer accounts, advocate for their needs, track ROI, lead executive conversations, and coordinate resources for measurable outcomes.
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Netic is the AI revenue engine for essential services who are the backbone of the American economy.

With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

What You'll Do:

  • Own strategic accounts: Serve as the single point of contact for our highest‑value customers, from onboarding through renewal and expansion.

  • Be the voice of the customer: Deeply understand and advocate for the most pressing needs of our customers, ensuring this is a north star across the company.

  • Define & track ROI: Establish metrics—booked revenue, marketing revenue, ticket value lift—and build dashboards that prove Netic’s impact quarter over quarter.

  • Navigate exec conversations: Lead QBRs, handle escalations, and reset expectations with clarity and authority—preventing churn before it appears.

  • Hunt new ideas: Spot new use‑cases, craft business cases, and partner with engineering & sales to turn satisfied customers into multi‑year, multi‑product advocates.

  • Drive outcomes, not tickets: Coordinate engineering, data, and GTM resources to smash blockers and deliver measurable value on aggressive timelines.

What You'll Bring:

  • Services pedigree: 3+ years building, scaling, or investing in essential service businesses in industries like home services, healthcare, automotive.

  • Financial rigor: Background in PE, investment banking, consulting or industry roles that demanded financial modeling, KPI dissection, and board‑level storytelling.

  • Analytical sharpness: Capable in SQL/BI tools; you translate data into executive‑ready insights and ROI narratives.

  • Thrives under pressure: Proven track record managing high‑stakes issues and aligning multiple stakeholders around action plans.

What brings us together is our commitment to:

  • Live to build

  • Run through walls and win

  • Obsess over customers in each line of code

  • Lose sleep over the "almost perfect"

  • Show internal locus of control

  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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