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Senior Software Engineer, Growth

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Published
66Listing views
5Application actions
25 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

Mural is seeking a Senior Software Engineer to join its Growth & Engagement team and improve the customer lifecycle from acquisition and onboarding through retention and monetization. The role combines full-stack product engineering with experimentation, analytics instrumentation, feature flags, and A/B testing. The engineer will work closely with Product, Design, Data, Marketing, and Customer Success while contributing to architecture, technical strategy, and engineering practices. Candidates need 5+ years of production software experience, strong modern web development skills, and the ability to mentor peers and independently drive ambiguous growth initiatives.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior product-engineering role requiring sound full-stack technical judgment alongside fluency in experimentation, product metrics, and customer lifecycle optimization. The fast-moving growth environment and cross-functional ownership raise the complexity beyond feature delivery alone.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$167,500
US market range$145k–$190k
AI insightNo actual salary range is disclosed; the statement that compensation depends on location, level, knowledge, skills, and experience is not a salary disclosure. Estimated US-market annual base salary for a Senior Software Engineer focused on growth, experimentation, and modern web applications is approximately $145,000-$190,000 USD, with an estimated median of $167,500 USD. This is a market estimate only and is not compensation offered by Mural.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe an experiment you built that improved a product or customer outcome.

I would explain the hypothesis, target audience, treatment and control design, instrumentation, success metrics, and guardrail metrics. I would then describe how I validated statistical confidence, shared results with stakeholders, and either scaled, iterated on, or retired the feature based on the evidence.

How would you design reliable event instrumentation for an onboarding funnel?

I would define a consistent event taxonomy tied to key lifecycle stages, include stable user and workspace identifiers, and document event properties and ownership. I would add schema validation, monitoring for event volume and data quality, privacy-aware handling, and dashboards that connect funnel behavior to activation outcomes.

How do you balance rapid experimentation with code quality and long-term maintainability?

I use clear experiment boundaries, feature flags with ownership and expiration plans, lightweight but sufficient test coverage, and observability from the start. After an experiment concludes, I prioritize removing dead paths and consolidating successful implementations into maintainable product architecture.

Tell us about a time you influenced a technical decision across Product, Design, and Data partners.

I would start by aligning the group on the customer problem and measurable objective, then present options with tradeoffs in delivery speed, reliability, analytics quality, and future flexibility. I would seek input early, document the decision, and ensure the selected approach had clear success criteria and accountable owners.

How would you apply AI-assisted development tools and emerging AI technologies responsibly in this role?

I would use AI tools to accelerate routine development, exploration, testing, and documentation while retaining engineering ownership of design and review. For customer-facing AI capabilities, I would validate usefulness, reliability, privacy, security, cost, and measurable customer impact before expanding availability.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

ABOUT THE TEAM

At Mural, we’re changing how teams collaborate, think, and make decisions together. The Growth & Engagement team helps customers discover value through intuitive product experiences, rapid experimentation, and emerging AI capabilities that make collaboration more effective. We own key parts of the customer journey – from acquisition and onboarding to activation, engagement, retention, and monetization – and use data, experimentation, and customer insights to continuously improve those experiences.

We’re a cross-functional team of engineers, product managers, designers, and data partners who move quickly, measure outcomes, and learn from every experiment. We value curiosity, collaboration, and thoughtful technical craftsmanship, building systems that enable rapid iteration while maintaining a high bar for quality, reliability, and scalability.

YOUR MISSION

As a Senior Software Engineer on the Growth & Engagement team, you’ll build the products, platforms, and experimentation capabilities that help customers discover value faster and achieve more with our product. You’ll partner closely with Product, Design, Data, and other Engineering teams to identify opportunities, validate ideas through experimentation, and deliver experiences that improve customer outcomes and drive sustainable business growth.

Beyond shipping features, you’ll help shape the technical direction of the team, mentor other engineers, and establish engineering practices that enable us to experiment confidently and move quickly.

WHAT YOU’LL DO

  • Design, build, and maintain customer-facing features that improve acquisition, activation, engagement, retention, and monetization.

  • Collaborate closely with Product, Design, Data, Marketing, and Customer Success to identify growth opportunities and translate customer feedback, product analytics, and experimentation to guide product decisions.

  • Design, implement, and analyze experiments using feature flags, A/B testing, and analytics to validate hypotheses and measure customer and business impact.

  • Build reliable instrumentation and event pipelines that help teams understand customer behavior and make informed product decisions.

  • Write high-quality, maintainable code while contributing to architecture, technical design, and long-term platform improvements.

  • Improve the performance, reliability, accessibility, and scalability of critical user journeys.

  • Mentor teammates through technical leadership, code reviews, design discussions, and knowledge sharing.

  • Contribute to roadmap planning, technical strategy, and continuous improvement of the team’s engineering practices.

WHAT YOU’LL BRING

  • 5+ years of professional experience as a Software Engineer building and operating production software.

  • Strong proficiency building modern web applications. Experience with TypeScript, React, Node.js, and MongoDB or similar technologies, with the ability to become productive quickly.

  • Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem and the ability to quickly learn emerging AI technologies.

  • Experience leveraging AI-assisted development tools and workflows to improve engineering productivity, code quality, and delivery.

  • Experience building customer-facing products in close partnership with Product and Design teams.

  • A product mindset with the ability to balance customer needs, technical tradeoffs, and business goals.

  • Experience using analytics and data to inform engineering and product decisions.

  • Strong software engineering fundamentals, including system design, testing, observability, and operational excellence.

  • Excellent communication and collaboration skills, with the ability to influence technical decisions across cross-functional teams.

  • A track record of taking ownership of ambiguous problems, driving projects from concept to delivery, and mentoring other engineers.

  • Experience working on a Growth/Engagement team or in a product engineering role focused on experimentation and customer lifecycle improvements.

  • Experience working with business metrics such as activation, engagement, retention, conversion, and monetization to inform product and engineering decisions.

  • Experience designing, implementing, or analyzing product experiments (A/B testing, feature flagging, or similar experimentation frameworks).

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.

Equal Opportunity

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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