Jobs at Peapod Digital Labs

Positions 847,882

Peapod Digital Labs is a rapidly scaling tech firm focused on AI‑driven e‑commerce solutions. Its reputation in the industry stems from data‑centric product strategies and a lean, agile engineering culture that delivers quarterly releases.

The company recruits across a spectrum of roles: full‑stack software engineers, ML/data scientists, product managers, UX/UI designers, and DevOps engineers. Teams collaborate in cross‑functional squads, conduct peer code reviews, pair‑program, and host quarterly hackathons to prototype new features.

Viewing Peapod Digital Labs listings on Job Transparency provides verified salary ranges, employee satisfaction scores, and interview feedback, giving candidates a concrete baseline for negotiations and a clearer picture of workplace culture.

Scrum Master

Company: Smile Digital Health

Location: Remote

Posted Jan 24, 2025

Smile Digital Health is a company dedicated to improving global health through innovative data solutions. They offer a leading FHIR-based data liberation platform that enables healthcare stakeholders to collect and exchange data effectively. The company values Agile development and Scrum frameworks, offering a remote work environment, flexible time off, competitive benefits, and a commitment to diversity, equity, and inclusion. They seek a Project Manager with extensive Agile experience, leadership skills, and knowledge of IT concepts and standards.

DevOps Lead

Company: Smile Digital Health

Location: Remote

Posted Jan 24, 2025

Smile Digital Health is a company dedicated to improving global health through innovative data solutions. They offer a leading FHIR-based data liberation platform that enables healthcare stakeholders to collect and exchange data effectively. The company values a DevOps culture, fostering an 'Everything as Code' approach. They provide competitive benefits, including remote work, flexible time off, and comprehensive health benefits. Smile Digital Health is committed to diversity, equity, and inclusion, encouraging candidates from all backgrounds to apply.

QA Automation

Company: Smile Digital Health

Location: Remote

Posted Jan 24, 2025

Smile Digital Health is a company dedicated to improving global health through innovative data platforms and solutions. They were ranked 19th on Deloitte's Technology Fast 50 Ranking for 2024. The company's FHIR-based data liberation platform simplifies data collection and exchange for healthcare stakeholders. Smile Digital Health is committed to generating and liberating structured healthcare data to ensure effective delivery across care teams and health systems. They offer a remote work environment, flexible time away from work policy, competitive salary, health benefits, and opportunities for professional development. The company values respect, inclusion, and diversity, fostering a workplace where employees can bring their authentic selves to work.

Frequently Asked Questions

What is it like to work at Peapod Digital Labs?
Employees describe a fast‑paced, collaborative environment where autonomy is paired with strong mentorship. The company emphasizes continuous learning through internal tech talks, a dedicated budget for conferences, and a culture of transparency around product decisions. Work hours are flexible, but high‑impact projects often require occasional overtime to meet sprint deadlines.
What types of positions are available at Peapod Digital Labs?
Current openings span the tech stack: backend and frontend developers (Node.js, React), data engineers (Python, Spark), AI researchers and ML engineers, product owners and managers, UX designers, quality assurance specialists, and site reliability engineers. Roles include full‑time, part‑time, and contract positions across New York, San Francisco, and remote locations.
How can I stand out as an applicant for Peapod Digital Labs?
Showcase a portfolio of real‑world projects that demonstrate end‑to‑end delivery, especially those involving data pipelines or AI features. Highlight any contribution to open‑source libraries or published research. Provide clear metrics of impact (e.g., reduced latency by 30% or increased conversion by 15%). Finally, prepare for technical interviews by mastering system design, data structures, and coding in languages relevant to the job posting.

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