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Turing

Sr. Director, AI Ecosystem Partnerships

Turing is hiring a Sr. Director, AI Ecosystem Partnerships. It pays $240k-$260k a year and Level rates it ; you can apply on Turing.

Level's read on this job

  • Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
  • The posting mentions AI research among its tools and skills.
  • Level classes it as an executive role.
  • Turing has 42 other open roles on Level.

AI in this role

ai-research
About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.

About the role

Sr. Director, AI Enterprise Partnerships · Turing Intelligence · United States (New York City preferred) · Full-time

Turing Intelligence builds and deploys AI systems for Global Financial customers and some of the world’s largest financial institutions, including the world’s largest asset manager, a leading global alternative asset manager, a top-tier investment bank, and a Fortune 50 consumer goods company. We run as a startup inside Turing, and our forward-deployed engineers work directly in client environments.

The foundation-model providers sell models and enterprise agreements, but they do not want to staff the implementation. Their customers still need someone to build real systems on those models, and that is our business. When a model provider recommends implementation partners into one of its enterprise accounts, we want Turing to be on that list.

We already have working relationships with two of the leading foundation-model providers. Both partners know us, but almost no revenue flows through either channel yet. We are hiring the Sr. Director, AI Enterprise Partnerships to change that: to sell Turing through and with these partners, run the partner programs behind that motion, and own the revenue that comes through the channel.

This is a hands-on, player-coach role. You will work on your own at first, and if the channel proves itself, you may build a team under it.

What you'll do

Sell through and with our partners

  • Pitch Turing to the partners' account executives and field teams, so they recommend us into their enterprise accounts
  • Build partner-sourced and partner-influenced pipeline by mapping partner account teams onto our target accounts and joining their account planning
  • Co-sell in the field: joint account plans, shared pursuit calls, and joint proposals
  • Route Turing-originated enterprise demand toward partner consumption, which earns referrals back to us
  • Own the revenue that comes through the channel, and grow it quarter over quarter

Run the partner programs

  • Manage each program end to end: onboarding, registrations and referrals, certifications, tier progression, partner credits, market development funds, and training
  • Keep the paperwork and tracking tight and consistent, and own partner pipeline reporting as the single source of truth inside Turing
  • Run the partner cadence: regular partner check-ins, quarterly business reviews, executive meetings, and partner events
  • Keep our engineers certified and current on each partner's platform, and turn each model or platform launch into activity across our accounts

Treat competing partners fairly

  • Manage partners who compete with each other, keeping each partner's information separate and giving none of them an advantage over another
  • Raise conflicts early and honestly, including where a partner's own services team competes with us or where our delivery capacity cannot back a commitment we are asked to make

Work across Turing

  • Run the channel much as a general manager runs a vertical, working mostly with our financial services (BFSI) business and with other verticals as accounts require
  • Build the case studies and references partners ask for before they recommend us, starting from delivered work and new wins
  • Partner with our delivery leaders to make sure every commitment made through the channel can be staffed and delivered

What we're looking for

Required

  • 5+ years in partnerships, alliances, or channel, including at least 2 years carrying a quota or a partner-sourced revenue target
  • Partner or alliance experience on the services side: you have managed a professional services or consulting firm's partnerships with cloud or technology vendors, ideally at a boutique or mid-size firm
  • Both halves of the job: you have pitched your firm to a vendor's account teams and won referrals, and you have run a partner program's registrations, co-sell, tiers, and funding
  • Fluency in the partner playbook: sourced versus influenced attribution, deal registration, co-sell, cloud marketplaces, and market development funds
  • Discretion: you can manage partners who compete with each other and keep each relationship fair and separate
  • Commercial judgment: you can read a P&L, model a referral structure against a margin floor, and tell revenue from profitable revenue
  • Range: comfortable with a partner's field rep and a partner's executive, and with a delivery lead and a general manager inside Turing
  • A player-coach who wants to do the work directly and build a channel from early stage

Preferred

  • AI experience: partnerships with a foundation-model provider or AI platform, or selling AI implementation work
  • Enough technical fluency to discuss model selection, agents, and deployment with an enterprise CTO or a partner's solutions architect
  • Experience managing two or more competing vendor partnerships at the same time
  • Experience selling into enterprise financial services

How you'll be measured

The first measure is revenue, and revenue growth, through the partner channel. Behind it sit partner-sourced pipeline, partner-influenced revenue and joint customer wins, gross margin on partner-sourced work, partner tier progression, and the number of certified engineers on each partner platform.

Compensation

The compensation range for this role is $240,000–$260,000.

Values

  • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.

  • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection

  • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

  • Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.

  • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.

  • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.

  • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.

  • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

How we rate this

Sr. Director, AI Ecosystem Partnerships at Turing rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Research

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  3. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: AI Research. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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