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Software Development Engineer

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Onsite

Software Development Engineer

SOPHiA GENETICS

Software Development Engineer

Skills

AIProduct ManagerChange Management

14 days ago

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Important information


Salary:

$88,000 – $168,000 / year

Location:

Boston, MA, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


Who you are

  • 5+ years of experience with a senior engineer or product manager background from a top tech company building complex products
  • Beyond engineering, you'll have direct working experience of working with Generative AI tools to deploy Functionallity or Enablement within an organisation
  • Strong hands-on building skills. you ship working software, not just diagrams. AI fluency is essential (LLMs, automation, modern AI tooling)
  • Dialed into modern engineering and product practices
  • Confident operator - you can walk into any function, diagnose what's broken, and drive change
  • Strong change management instincts - you can win over skeptical teams and make new ways of working stick
  • Comfortable moving between strategy conversations and shipping code in the same week

What the job involves

  • Reporting to the VP, Corporate Strategy, you'll build internal products, automations, and workflows that improve how teams across the business operate
  • Around 80% of your time will focus on hands-on engineering: understanding business needs, building the tools yourself, and helping teams put them into use
  • The remaining 20% will focus on internal consulting, acting as a sounding board for leadership on software development benchmarks and best practices
  • Build internal products and automations: Work with teams across the company to identify useful internal projects and write the software that delivers them
  • Roll out tools that teams use: Help teams adopt the tools you build, with a focus on improving their day-to-day work and delivering business impact
  • Process and tooling improvements: Examine and improve internal tooling, data flows, and processes, including end-to-end data architecture, starting with sales
  • Internal consulting on engineering practices: Advise leadership on software development benchmarks and best practices, drawing on your own experience building and delivering software
  • Cross-functional alignment: Translate between business needs and technical decisions, and communicate clearly with engineering, product, and other teams

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