A16zcrypto

TV Buyer

New York Office

Sponsorship not specifiedDetected 26 days ago

SQLA/B TestingPerformance MarketingForecastingCommunication

About the role

Kalshi has defined a new category: prediction markets.
Kalshi allows people to trade on the outcome of any events and turn any question about the future into a financial asset.
As Kalshi expands its consumer footprint, we believe TV - including linear, connected TV, streaming, live sports, and other premium video inventory - can become a powerful engine for brand awareness and measurable user growth.

Own Kalshi's TV media buying strategy across linear TV, connected TV, streaming platforms, sports inventory, and premium video placements
Plan, execute, and optimize TV campaigns to drive customer acquisition, brand awareness, deposits, and long-term user engagement
Manage budget allocation across networks, publishers, dayparts, audience segments, and program types to maximize ROI
Develop measurement frameworks for TV performance including incrementality, attribution, CAC, ROAS, and LTV analysis
Partner with Growth, Data, and Marketing teams to understand how TV influences downstream conversion and retention
Negotiate directly with networks, publishers, DSPs, and agency partners to secure high-quality inventory and favorable pricing
Build forecasting and pacing models to ensure spend is aligned with growth goals and business targets
Partner with creative teams to test messaging, offers, formats, and calls-to-action across TV campaigns
Build reporting systems and dashboards that provide clear visibility into performance and investment efficiency
Experience building media buying functions from the ground up

4-8+ years of experience in TV buying, media investment, performance marketing, programmatic video, or a related field
Strong understanding of linear TV, connected TV, streaming media, and video advertising ecosystems
Experience managing meaningful media budgets with accountability to performance outcomes
Ability to evaluate tradeoffs between brand investment and direct-response efficiency
Experience negotiating media buys, pricing, inventory access, and partnership terms
Strong communication skills and ability to translate performance data into actionable strategic recommendations
Ability to operate independently in a fast-moving environment with ambiguity
Experience buying media for consumer technology, fintech, gaming, sports betting, or trading products
Experience scaling CTV or streaming as a measurable acquisition channel
Experience working with major DSPs including The Trade Desk, Google, or Amazon

$150,000 to $2500,000 annually plus equity and benefits.
This salary range is based on the current available market data, and represents the expected salary range for this role.
Kalshi has minimal hierarchy and few titles, but has broad ranges of experience represented within roles.
Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to further discuss.
Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out.
We love our craft deeply and are proud of what we put out in the world.

We are committed to our vision of building something big… but also useful: a product that brings more truth through the power of markets.

bring more truth to the world through the power of markets.
we hire really talented people, work really hard, and enjoy the climb.
We are looking for ambitious and exceptional people to join our (relatively small) team to help us build the next generation of financial markets.
Kalshi is looking for a highly analytical, performance-driven TV Buyer to build and scale television as a major customer acquisition channel.
We need someone who understands how to deploy capital intelligently across TV channels while maintaining rigorous performance standards.
Role Roadmap

Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.

This listing is sourced directly from A16zcrypto's careers page and normalized into a canonical job model.