Engineering Manager, Growth [Remote]
$152.8k - $259.2kjobgether
- Remote job
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager, Growth based in United States.
This role offers the opportunity to lead a high-performing engineering team focused on improving how users discover, adopt, and expand value through a leading software platform.
You will combine technical leadership, people management, and product strategy to drive measurable improvements across the user journey.
Working at the intersection of engineering, experimentation, analytics, and AI-driven workflows, you will help shape scalable growth initiatives.
You will partner closely with Product, Design, Data, and Engineering teams to transform insights into impactful product experiences.
The role requires a builder mindset, strong technical judgment, and the ability to thrive in a globally distributed, asynchronous environment.
You will empower your team to experiment, innovate, and deliver solutions that improve activation, engagement, retention, and business growth.
Accountabilities:
In this role, you will lead a growth-focused engineering team, enabling engineers to deliver impactful product improvements while fostering a culture of experimentation, collaboration, and continuous learning. You will be responsible for connecting technical execution with business outcomes, helping teams identify opportunities, run experiments, and scale successful initiatives.
- Lead, mentor, and develop a high-performing engineering team, creating an environment where team members can deliver their best work.
- Partner with Product Managers, Designers, Data teams, and other Engineering Managers to define and execute initiatives that improve user discovery, activation, engagement, and expansion.
- Own team delivery by supporting planning, prioritization, execution, and measurement of growth experiments and product improvements.
- Drive experimentation practices, including hypothesis development, prioritization frameworks, analysis of results, and scaling successful outcomes.
- Guide technical architecture, implementation decisions, and engineering tradeoffs to ensure solutions are scalable, measurable, and aligned with long-term goals.
- Support cross-functional initiatives that span multiple product areas while maintaining clear ownership and effective collaboration.
- Facilitate strong communication practices across distributed teams, ensuring alignment between technical and non-technical stakeholders.
- Promote AI-driven workflows and experimentation methods to improve productivity, accelerate delivery, and uncover new opportunities.
- Help establish operating rhythms that enable teams to move quickly while maintaining high standards of quality and ownership.
Requirements:
The ideal candidate is an experienced engineering leader who combines strong technical expertise with a passion for product growth, experimentation, and team development. You should be comfortable operating in a fast-moving environment where data, collaboration, and innovation drive decision-making.
- Proven experience managing software engineering teams with a track record of building strong, high-performing, and inclusive teams.
- Strong technical background with experience guiding full-stack engineering projects, architecture discussions, and product-focused delivery.
- Experience partnering closely with Product, Design, and Data teams to deliver measurable business and user outcomes.
- Ability to operate effectively in a data-informed environment, using metrics and experimentation to guide product decisions.
- Strong understanding of growth engineering principles, product-led growth strategies, and user journey optimization.
- Experience managing remote, globally distributed teams and working effectively within an asynchronous environment.
- Excellent communication skills with the ability to translate complex technical concepts into clear recommendations for diverse audiences.
- Strong problem-solving skills and the ability to create structure in ambiguous situations.
- Experience using AI tools, automation workflows, or AI-assisted approaches to improve engineering productivity and solve complex challenges.
- Ability to collaborate across multiple teams while maintaining focus on strategic priorities.
Benefits:
- Competitive base salary range of $152,800 – $259,200 USD depending on experience, location, skills, and qualifications.
- Comprehensive benefits package supporting health, financial security, and overall well-being.
- Flexible paid time off program.
- Equity compensation and employee stock purchase opportunities.
- Growth and development resources, including professional learning support.
- Parental leave benefits.
- Flexible remote work model with opportunities to collaborate globally.
- Employee resource groups supporting inclusion, belonging, and community.
- Opportunity to work on innovative technology used by millions of users worldwide.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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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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