Jobs at StackAdapt

Positions 634

StackAdapt, founded in 2014 and headquartered in San Francisco, is a leading programmatic advertising platform that empowers global brands to plan, execute, and optimize media spend across multiple channels. By leveraging real‑time data and AI‑driven creative optimization, the company delivers measurable ROI and transparent performance metrics to clients ranging from consumer tech giants to emerging startups.

StackAdapt’s hiring pipeline spans technical, product, and business functions. Current openings include Machine Learning Engineers, Data Scientists, Front‑end Developers, Product Managers, Sales Executives, Customer Success Leads, and Finance Analysts. Candidates can expect agile squads, a culture of experimentation, and opportunities to work on high‑impact features that directly influence millions of ad impressions.

Exploring StackAdapt listings on Job Transparency gives recruiters a full view of each role’s salary band, bonus potential, and employee sentiment. By comparing these figures against industry benchmarks, applicants can negotiate confidently and choose positions that align with their career goals and compensation expectations.

No open positions at StackAdapt right now.

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Frequently Asked Questions

What is it like to work at StackAdapt?
StackAdapt fosters a collaborative, data‑centric culture where teams own end‑to‑end product cycles. Employees enjoy flexible remote options, quarterly hackathons, and a clear promotion path that rewards experimentation. The company invests in continuous learning through internal knowledge‑sharing sessions and external conferences, ensuring staff stay at the forefront of programmatic technology.
What types of positions are available?
Open roles cover Engineering (Backend, Frontend, ML, Data), Product Management, Sales & Business Development, Customer Success, Marketing, Finance, HR, and Operations. Each role emphasizes cross‑functional collaboration and impact‑driven metrics.
How can I stand out as an applicant?
Stand out by highlighting measurable results—e.g., lifted ad revenue by 12% through A/B testing, reduced data pipeline latency by 30%, or closed a $2M deal. Showcase relevant skills in Python, SQL, TensorFlow, and cloud platforms. Include a portfolio of programmatic dashboards or open‑source contributions, and demonstrate familiarity with industry standards like DSPs, SSPs, and header bidding.

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