Jobs at Acosta

Positions 43,672

Acosta is a leading data‑driven marketing technology firm that delivers AI‑powered advertising solutions to brands worldwide. The company builds a proprietary analytics platform that tracks, optimizes, and predicts campaign performance in real time, helping marketers reduce spend waste and boost ROI.

Acosta hires across engineering, data science, product, and marketing tech teams. Candidates can expect rigorous coding challenges, live data projects, and cross‑functional collaboration with campaign strategists. The work environment emphasizes experimentation, continuous learning, and rapid iteration.

Job Transparency’s Acosta listings reveal exact salary ranges, benefit packages, and employee sentiment scores. By comparing these figures against industry benchmarks, job seekers can negotiate confidently and choose roles that match their career goals and compensation expectations.

No open positions at Acosta right now.

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Frequently Asked Questions

What is it like to work at Acosta?
Acosta offers a data‑centric culture that values experimentation and rapid iteration. Employees work in cross‑functional squads, receive regular mentorship, and have flexible remote options. The company invests in continuous learning, providing access to workshops, certifications, and a generous stipend for tech tools. Benefits include competitive health plans, equity, and a generous paid time off policy.
What types of positions does Acosta offer?
Acosta routinely fills roles in software engineering (frontend, backend, full‑stack), data science and analytics, product management, marketing technology architecture, sales engineering, and customer success. Each department blends technical expertise with business insight, and hiring teams look for candidates who can solve complex problems and communicate results to non‑technical stakeholders.
How can I stand out as an applicant for Acosta?
Tailor your resume to highlight measurable impact—include metrics such as click‑through rate improvements, cost‑per‑acquisition reductions, or algorithm accuracy gains. Showcase relevant projects on GitHub or a portfolio, and demonstrate proficiency in languages and tools used at Acosta (Python, SQL, AWS, Tableau). In interviews, prepare for case studies that test your analytical thinking, and ask questions that show you understand Acosta’s data‑driven strategy and future roadmap.

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