Engineering Manager, Growth

New

Based in IndiaFull-TimeManager

SalaryAnnual salary range of $179,100–$235,361.

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Job Details

Demonstrated experience managing software engineers, including coaching, constructive feedback, career development, and addressing performance concerns.
Strong engineering background and ability to engage with code reviews, architecture, prototyping, and complex technical decisions.
Customer-focused mindset and appreciation for user experience, accessibility, and intuitive product design.
Ability to evaluate customer journeys, identify friction points, and explain technical and product decisions.
Experience or strong understanding of product growth, including acquisition, activation, monetization, and retention.
Ability to use customer insights, data, and experimentation to prioritize work and evaluate impact.
Practical experience using AI tools in engineering workflows to solve complex problems and improve productivity.
Sound judgment in reviewing, validating, and challenging AI-generated outputs.
Strong written and verbal communication and ability to collaborate across technical and non-technical teams.
High ownership, initiative, and ability to work independently in a remote environment.
Comfort working across disciplines, locations, and time zones.
Personal experience creating and sharing work, such as writing a newsletter, publishing online, building side projects, or running a small business.

Coach engineers through feedback, career development, and guidance on professional growth.
Set engineering priorities with Product, Design, and Marketing, grounded in customer needs and data.
Participate in technical decisions, architecture discussions, code reviews, prototypes, and complex engineering trade-offs.
Guide development of clear, accessible, responsive, and intuitive product and marketing experiences.
Use experimentation and customer feedback to decide when to refine solutions or release and learn.
Connect customer insights, product changes, and performance measurement to assess initiative impact.
Support customer acquisition, activation, conversion, and retention.
Explore AI-assisted engineering practices and help engineers evaluate, validate, and responsibly use AI outputs.
Contribute to recruitment, shared technical practices, and Engineering team workflow improvements.

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