Mid Level Engineering Senior Manager Jobs
Mid level engineering senior manager jobs go to professionals ready to own complex initiatives end to end, guide junior team members, and shape engineering decisions with limited oversight. Hiring runs across Technology & Software, Electronics & Hardware, and Biotechnology & Pharmaceuticals, with 28% of openings offering remote or hybrid work, and employers like Databricks, Amazon Web Services, and Apple competing for candidates at this level now.
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INTRODUCTION
As Engineering Manager for Recommender Systems, you'll lead the team that builds the backend retrieval and ranking infrastructure behind recommendations at Raya. You'll partner closely with the head of ML to drive our tech strategy and ensure our members get the best experience possible on the core surface of our product. We are looking for someone who is technically strong, has deep experience with production recommender systems, and has intuitive product-focused user empathy. We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity.
Responsibilities
- Build, coach, and retain a high-performing backend team that specializes in recommender systems.
- Own reliable, low-latency production systems, observability, and incident response for recommendations. Catch regressions in latency, quality, or fairness before users notice.
- Create and execute a technical strategy that is grounded in deep product intuition and empathy for the end-user experience.
- Partner with the Machine Learning team to define roadmaps. Balance user-facing improvements with investments in infrastructure, reliability, and experimentation.
- Work with Data Science to co-own experimentation processes, tools, and best practices.
BASIC QUALIFICATIONS
- 3+ years managing engineers, with direct responsibility for hiring, performance management, career development, and delivery.
- Experience leading or building production recommender systems at scale.
- Hands-on depth in high-throughput, low-latency distributed systems that serve millions of users.
- Expertise in Go, Java/JVM, or a similar backend language; Postgres, and AWS/GCP, and Kubernetes.
PREFERRED QUALIFICATIONS
- Experience with social networks or two-sided marketplaces in a subscription setting: you understand reciprocal interest, exposure, liquidity, and how great recommendations create long-term retentive value.
- Familiarity with how machine learning and AI fit into modern recommender systems.
- Experience with retrieval infrastructure such as Elasticsearch/OpenSearch, vector search, or feature stores.
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.
INTRODUCTION
As Engineering Manager for Recommender Systems, you'll lead the team that builds the backend retrieval and ranking infrastructure behind recommendations at Raya. You'll partner closely with the head of ML to drive our tech strategy and ensure our members get the best experience possible on the core surface of our product. We are looking for someone who is technically strong, has deep experience with production recommender systems, and has intuitive product-focused user empathy. We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity.
Responsibilities
- Build, coach, and retain a high-performing backend team that specializes in recommender systems.
- Own reliable, low-latency production systems, observability, and incident response for recommendations. Catch regressions in latency, quality, or fairness before users notice.
- Create and execute a technical strategy that is grounded in deep product intuition and empathy for the end-user experience.
- Partner with the Machine Learning team to define roadmaps. Balance user-facing improvements with investments in infrastructure, reliability, and experimentation.
- Work with Data Science to co-own experimentation processes, tools, and best practices.
BASIC QUALIFICATIONS
- 3+ years managing engineers, with direct responsibility for hiring, performance management, career development, and delivery.
- Experience leading or building production recommender systems at scale.
- Hands-on depth in high-throughput, low-latency distributed systems that serve millions of users.
- Expertise in Go, Java/JVM, or a similar backend language; Postgres, and AWS/GCP, and Kubernetes.
PREFERRED QUALIFICATIONS
- Experience with social networks or two-sided marketplaces in a subscription setting: you understand reciprocal interest, exposure, liquidity, and how great recommendations create long-term retentive value.
- Familiarity with how machine learning and AI fit into modern recommender systems.
- Experience with retrieval infrastructure such as Elasticsearch/OpenSearch, vector search, or feature stores.
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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Who's Hiring
Top Industries Hiring
- Technology & Software32
- Electronics & Hardware11
- Biotechnology & Pharmaceuticals7
- Consulting & Professional Services7
- Healthcare & Medical Services6
Mid Level Engineering Senior Manager Jobs: Frequently Asked Questions
How do I get a mid level engineering senior manager job?
Position yourself around demonstrated ownership, not just task completion. Highlight projects where you drove outcomes, coordinated across teams, and solved problems without constant direction. Tailor your resume to show increasing scope in each role, emphasize any mentorship or cross-functional collaboration, and match your application to the specific technical or operational domain each employer names in the job description.
Which companies hire mid level engineering senior managers?
Companies hiring mid level engineering senior managers right now include Databricks, Amazon Web Services, and Apple, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a broad mix of large enterprises building out their management pipeline and growth-stage companies that need leaders who can still operate close to the work.
Are there remote mid level engineering senior manager jobs?
Yes, remote and hybrid options are a real part of the market at this level. About 28% of mid level engineering senior manager openings are remote or hybrid as of November 2026, reflecting how many organizations have normalized flexible arrangements for experienced contributors who can manage their own accountability and coordinate distributed teams effectively.
How do I move up to a mid level engineering senior manager role?
The path from entry level centers on accumulating ownership over time. Focus on deepening your technical or operational specialization, volunteering for projects that require coordination across teams, and building a record of initiatives you led from start to finish. Consistently demonstrating measurable impact, earning trust to work with less oversight, and showing you can develop others are the signals that signal readiness for mid level scope.
Which industries hire the most mid level engineering senior managers?
Mid Level engineering senior manager roles concentrate in Technology & Software, Electronics & Hardware, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive the most hiring at this level because they combine high engineering complexity with ongoing demand for managers who can bridge technical execution and organizational priorities without full senior leadership experience.