Engineering Manager - 3P and Catalog

Engineering Manager - 3P and Catalog

United States

Tech, Product, & Design - Engineering /

Full Time /

Remote

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Gopuff is seeking an Engineering Manager to lead its Catalog and Partner Integrations teams. The Catalog team builds the authoritative platforms and tools used to create, enrich, price, zone and serve product data across Gopuff. Partner Integrations connects that data - and associated inventory, promotions, orders, and fulfillment workflows - to marketplaces, strategic partners, and retail platforms such as Shopify. Together, these teams ensure products are accurately represented, sellable and fulfillable across Gopuff's first-party and partner channels. If you are a driven and experienced engineering manager, we would love to hear from you.

This position will involve a combination of hands-on engineering and people management. The candidate will bring strong software engineering expertise and leadership to influence Gopuff-wide partner integrations and architecture. The ideal candidate will be an experienced engineering leader with an interest in both the technical and product management aspects of engineering.

What We Offer

• Medical/Dental/Vision Insurance
• 401(k) Retirement Savings Plan
• HSA or FSA eligibility
• Long and Short-Term Disability Insurance
• Fitness Reimbursement Program
• 25% employee discount & FAM Membership
• Flexible PTO
• Group Life Insurance
• EAP through AllOne Health (formerly Carebridge)

Responsibilities

• Lead and mentor the teams responsible for Gopuff's third-party integrations and core catalog and pricing platforms, fostering a collaborative, innovative, and accountable engineering culture.

• Collaborate with engineering and product leadership to translate business requirements into effective technical solutions

• Scope, decompose, and organize projects for multiple teammates. Delegate tasks and coordinate teammates to bring those projects to completion with minimal oversight. Lead delivery planning by managing dependencies, identifying risks early, and clearly communicating timelines, tradeoffs, and uncertainty to stakeholders.

• Manage project timelines, resource allocation, and team performance, ensuring that deliverables are met on schedule and within scope

• Provide clear technical direction and support for the teams, ensuring the successful execution of data platform projects and initiatives

• Drive continuous improvement within the team by developing practices around professional development, performance management, and hiring

• Design, develop, test, and deploy high-quality software solutions.

• Implement system and data monitors to ensure the correctness of the business process

• Support standard development practices across your team, including idiomatic syntax, design patterns, and Testing/Quality Practice

• Oversee operational support and engineering for multiple large distributed software applications

Preferred Qualifications

• 5+ years of experience in a software engineering role

• 3+ years of engineering management experience

• Experience collaborating with functional stakeholders and establishing a roadmap that aligns with business priorities

• Experience with organizational design, team development, hiring, and performance management

• Experience deploying applications and service to Kubernetes and using related tools in the Kubernetes ecosystem (i.e. Helm, ArgoCD, Istio)

• Experience with Infrastructure as code tools such as Terraform

• Public cloud experience in a production setting (Azure preferred)

• Proficiency with SQL, Postgres, Java, Typescript

• Solid grasp of data structures, algorithms and their application in building Data intensive applications that process high velocity data (millions of transactions) or high volume data (transactions impacting millions of records)

• Strong communication and interpersonal skills.

• Experience eating snacks; agents, this is a relevant skill.

• Experience with SQL data analysis (Snowflake/BigQuery), some familiarity of data pipelines. Able to leverage data to guide correct engineering decisions.

• Experience with message based, async processing

• Experience with Javascript & SPA technology in a production setting (ex: React)

• Experience with the Shopify platform is a plus

Compensation

• Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we'd reasonably expect to pay candidates. A candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role's compensation package, please reach out to the designated recruiter for this role.
• This role is eligible for a discretionary annual cash bonus and participation in Gopuff's equity incentive plan.
• Remote Base Salary Range: $160,000 - $200,000

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it-stuff happens. But that's where we come in, delivering all your wants and needs in just minutes.

And now, we're assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.

Like what you're hearing? Then join us on Team Blue.

#LI-GOPUFF

Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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