Strategy & Operations, Product Partnerships

Responsibilities

Strategic Analysis and Valuation

• Own valuation frameworks for data and product partnerships and develop new approaches as partnerships evolve.
• Build valuation models, partnership evaluation frameworks, and ROI analyses for partnership initiatives.
• Maintain a benchmark library of comparable transactions and historical pricing.
• Conduct industry and competitive research to inform strategic decisions.
• Serve as the internal expert on partnership spend, historical transactions, and forward planning.
• Turn complex, ambiguous challenges into clear analyses and recommendations.

Deal Support and Negotiation Strategy

• Review inbound proposals and partner pricing and provide deal leads with defensible analytical perspectives.
• Develop data-grounded negotiation strategies with deal leads.
• Support partner managers in navigating novel partnership structures.

Operational Excellence

• Design scalable systems and processes that improve team efficiency, leveraging Claude to build them.
• Build dashboards and reporting infrastructure tracking portfolio health, deal pipeline, spend, usage, and key success metrics.
• Optimize the partnership lifecycle, including sourcing, inbound tracking, contracts, cross-functional approvals, delivery, and feedback loops.
• Liaise between Partnerships, Research, Product, and Finance teams to address operational challenges.

Requirements

• 5+ years of experience in management consulting, investment banking, private equity, growth equity, venture capital, or technology-company strategy and operations.
• Exceptional analytical skills and advanced financial modeling proficiency.
• Strong interpersonal and communication skills, with the ability to influence and align stakeholders across Research, Product, Partnerships, Finance, and Legal.
• Ability to independently own workstreams from question through decision.
• Strong judgment and conviction, combined with openness to update conclusions as data evolves.
• Ability to ramp quickly on unfamiliar subject matter and identify value drivers.
• Experience building processes and systems from 0 to 1.
• Proactive use of AI tools to automate repetitive analysis.
• Bachelor’s degree or equivalent combination of education, training, and experience.
• Relevant field of study demonstrated through coursework, training, or professional experience.

Nice-to-Haves

• Operating experience inside a company, beyond advisory or investing roles.
• Experience with negotiations, deal structuring, or partnerships.
• Background in data, content, or product licensing.
• Fluency with Claude or other AI tools in daily analytical work.
• Proficiency with SQL, Python, or similar tools.
• Sense of humor.

Compensation and Benefits

• Annual salary: $205,000–$240,000 USD.
• Hybrid policy: staff are generally expected to work from an office at least 25% of the time, with some roles requiring more.
• Visa sponsorship is available for eligible roles and candidates.
• Benefits include competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.