Senior Performance Marketing Manager
At a glance
Senior Performance Marketing role at NewsBreak. Mountain View · $100,000–$250,000 base.
growthroles summary, based on the employer's posting.
What you'll do
- Shift spend across channels based on incrementality, and turn the first measurement readout into budget changes
- Set testing rules before launch, including sample sizing, success measures, stop points, controls and a structured test log
- Oversee the automated bidding system with approval limits, audit trails, rollback plans and enforced holdouts
- Introduce bidding by geographic tier, secure platform studies and support, and move staff away from automated tasks
What you bring
- At least seven years in app user acquisition, with independent ownership of annual spend above thirty million dollars
- You can design experiments with power calculations and stopping rules, and have cut apparently successful spend that lacked incremental value
- You have led at least four people, including someone in analytics, creative or engineering rather than buying
Who this fits
This is a senior, hands-on growth role for an experienced operator who can judge incrementality, experiment quality and automated budget decisions. You’ll lead a colleague’s execution while owning rollout and risk controls for the bidding system; the Lead retains responsibility for its direction. The role is based in Mountain View, and the stated US base salary range is $100,000 to $250,000 per year.
From the employer
About NewsBreak
Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code.
Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn.
Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company’s Best Workplaces for Innovators (2025) and Fortune’s Best Workplaces in the Bay Area™ (2026).
Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us.
Learn more at: NewsBreak, Nearby AI, NDot AI
Why this role exists
The team has a Lead, and direction is well set — the agentic system is their initiative. But that same person also heads the part-time jobs vertical. Two significant roles, one person's bandwidth means the time available for paid growth is limited. Day-to-day operations are covered by a colleague who is new to growth — at this budget scale, incrementality judgment, bidding strategy, and experiment design sit beyond their current experience. What's missing isn't direction; it's an experienced operator running the function full-time. That colleague will continue on execution under you.
That explains the present state: no incrementality testing has ever been run, a hyper-local product bids uniformly nationwide, angle tests run without pre-registered sample sizes or stopping rules, and close to half the team still performs work the platforms have automated. Conservatively, eight figures of annual efficiency sits unclaimed here.
Platform automation has absorbed most manual optimization headroom — the ceiling isn't operational precision. Experiment design and analytical judgment are the core skills; knowing the Meta interface is table stakes.
What you'll own
- Cross-channel budget reallocation grounded in incrementality
- Standardizing how angles get tested — the most concrete gap today: pre-registered sample sizes and power calculations, success criteria and stopping rules set before launch, a consistent control, a structured test log, and strict separation of message tests from creative tests (never vary both). Testing happens today, but conclusions are of uncertain reliability: the true hit rate is unknown, and winners may have been killed while noise was kept
- Guardrails and supervision for the agentic bidding system: approval thresholds, audit logs, rollback, enforced holdouts, and when to trust it versus intervene. The Lead sets system direction; this role owns rollout and risk control
- Rollout of geo-tiered bidding
- Extracting platform support — at this spend level you should have rep support, lift studies, and alpha access
- Rebalancing the team: nearly half of it still does work the platforms have automated
What we're looking for
- 7+ years in app UA, having independently run $30M+ per year — small-budget experience doesn't transfer; this bar is firm
- You can answer: “Given a system that reallocates budget automatically, how do you stop it from moving spend toward zero-incrementality inventory?”
- You've cut spend that looked good in the dashboard but wasn't incremental
- You design your own experiments, including power calculations and stopping rules
- You've managed 4+ people, including at least one non-buying function (analytics, creative, or engineering)
- Industry open
First 90 days
- Audit optimization events: how much budget sits on installs versus downstream value
- With the Growth DS, translate the first incrementality readout into actual budget shifts
- Stand up the two-layer testing framework and ring-fence an exploration budget
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