Software Engineering Manager - Data Quality

Requirements:

• 4+ years of engineering management experience, including direct mentorship and performance management of engineers.
• Proven ability to build and scale engineering teams from the ground up, including defining hiring roadmaps, establishing team culture and norms, and onboarding engineers into a newly formed group. Comfortable operating with ambiguity in early-stage team structures.
• Experience leading and coordinating distributed engineering teams across multiple time zones and geographies. Skilled at establishing clear communication rhythms, shared ownership models, and inclusive team practices that bridge US and India-based engineers effectively.
• 6+ years of hands-on software engineering experience, preferably with modern backend stacks such as Python, Node, Django, MySQL, and Celery.
• Proven ability to design and operate large-scale distributed systems, ideally in a SaaS or product-driven environment.
• Deep familiarity with building and maintaining integrations to major CRM and MAP platforms, including their data models, API constraints, rate limits, webhook patterns, and sync reliability challenges, with specific experience across Salesforce, HubSpot, and Microsoft Dynamics 365.
• Experience working with no-code integration and data pipeline platforms such as Fivetran; able to guide teams on trade-offs between managed connectors and native integrations.
• Solid understanding of modern auth protocols in the context of third-party integrations, including OAuth 2.0, JWT, and API key management, with experience handling token lifecycle, scopes, refresh flows, and multi-tenant credential management.
• Experience working with both relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Google Cloud Bigtable, Redis), including data modeling, query performance, and operational considerations at scale.
• Experience with major cloud platforms (AWS or GCP); GCP familiarity is a plus, particularly Dataflow, Pub/Sub, and GKE.
• Fluency in API design principles for integration-heavy systems: REST, webhooks, bulk sync, idempotency, retry semantics, and rate limiting.
• Strong communication and interpersonal skills; you can translate between technical and non-technical audiences with ease.
• A collaborative, pragmatic mindset with a bias toward action and delivering customer value.

Skills

AWS, Django, GCP, Hubspot, Microsoft Dynamics 365, Node.js, Python, Salesforce