Engineering Manager, Growth in United States at Jobgether
Explore Related Opportunities
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager, Growth based in the United States.
This role sits at the intersection of product-led growth, engineering leadership, and data-driven experimentation, focused on helping users discover value faster and expand their engagement across a complex software ecosystem. You will lead a globally distributed engineering team responsible for optimizing the full user funnel, from acquisition and onboarding to activation, retention, and expansion. The role combines strong people leadership with hands-on technical involvement, including guiding architecture discussions, reviewing fullstack implementations, and ensuring high-quality delivery of experimentation-driven work. You will collaborate closely with Product, Design, Data, and Analytics teams to translate insights into impactful product improvements. A key part of the role is building a culture of experimentation, continuous learning, and AI-enabled development practices. This is a high-impact leadership opportunity for someone who thrives in fast-paced environments where engineering, product thinking, and growth strategy intersect.
- Hire, lead, and develop a high-performing Growth engineering team, fostering a culture of ownership, experimentation, and continuous improvement.
- Partner closely with Product Managers, Designers, Data teams, and cross-functional engineering leaders to define and deliver growth initiatives across the user lifecycle.
- Own end-to-end execution of growth experiments and product improvements, including planning, prioritization, delivery, and measurement of outcomes.
- Drive experimentation strategy using hypothesis-driven development, A/B testing frameworks, and structured prioritization methods such as ICE scoring.
- Provide technical leadership across fullstack systems, guiding architecture decisions and ensuring scalable, well-instrumented experiment design.
- Collaborate across product boundaries to ensure alignment, smooth execution, and effective ownership transitions for cross-team initiatives.
- Analyze experiment results and product metrics to identify opportunities for optimization and scale successful initiatives.
- Champion AI-driven workflows and experimentation practices to accelerate product iteration and improve user value delivery.
- Foster strong asynchronous communication and effective operating rhythms across distributed teams.
- Proven experience managing engineering or product engineering teams in growth, product-led, or experimentation-focused environments.
- Strong technical background with the ability to guide fullstack engineering architecture and implementation decisions.
- Experience working cross-functionally with Product, Design, Data, and Analytics teams to deliver measurable business outcomes.
- Strong understanding of experimentation frameworks, A/B testing, and data-informed decision-making.
- Demonstrated success in improving key growth metrics such as activation, conversion, retention, or revenue through iterative development.
- Ability to translate complex technical and product concepts into clear, actionable direction for both technical and non-technical stakeholders.
- Experience managing remote or globally distributed teams in asynchronous environments.
- Strong leadership capabilities with a focus on coaching, team development, and building high-performance cultures.
- Familiarity with developer tools and product-led growth environments is an asset.
- Interest in AI-driven development practices and applying emerging technologies to improve product outcomes.
- Competitive compensation package including base salary, bonus, and equity opportunities.
- Comprehensive health, dental, vision, and mental health coverage.
- Flexible remote-first work environment within the United States.
- Generous paid time off, including vacation, sick leave, and wellness days.
- Strong focus on learning, development, and internal career mobility.
- Opportunity to work on high-impact growth initiatives at scale in a globally used platform.
- Inclusive, values-driven culture that supports collaboration, experimentation, and innovation.
- Access to modern tools, AI-enabled workflows, and advanced engineering practices.