Engineering Manager, SaaS

Biorce; Austin (TX); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Private health coverage

Hybrid work model

MacBook provided

Pet-friendly office

Job summary

Biorce is seeking an Engineering Manager, SaaS, to drive the Engineering function from the Barcelona hub while expanding in the U.S. This role focuses on delivery health, hiring, and coaching across multiple squads in a regulated environment, with strong emphasis on AI-enabled delivery and governance.

You will oversee 5–8 engineers, grow to 12–15, ensure timely delivery, and partner with Product and AI Research to maintain quality and speed in production-grade systems.

Qualifications

• 5+ years as a strong senior engineer on distributed systems or SaaS platforms before leading
• Led two or more teams concurrently, roughly 10-20 engineers, or managed through tech leads
• Typically 4+ years managing after a senior IC run
• Built teams, sourcing, hiring, developing, and managing out, the full cycle
• Experience in regulated or audited delivery environments, such as health, fintech, or government
• Comfortable shipping against a hard release gate with audit trails
• Able to read code, challenge designs, and judge AI-generated code quality
• Strong delivery ownership and accountability for squad outcomes

Responsibilities

• Lead 5-8 engineers across one or two squads, with growth to 12-15 across more squads
• Own delivery health, lead time, change-failure rate, and release rhythm
• Maintain AI governance with human review before merges
• Partner with AI Research on model-quality workstreams
• Collaborate with Product on a shared scoreboard for outcomes and priorities
• Protect squads as central contact for Head of Engineering
• Develop engineers and tech leads through coaching and performance mgmt
• Lead hiring for the group from sourcing to offers

Skills

Senior engineer

Distributed systems

SaaS platforms

Multi-team management

Regulated environments

AI governance

Hiring & coaching

Tools

Kubernetes

CI/CD

GitOps

RBAC

Job description

About the company

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes.

Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs.

With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.

About the role

Following our successful expansion into the U.S. and continued growth across Europe, we are seeking an Engineering Manager, SaaS, to help drive our Engineering function from our Barcelona hub.

Reporting directly to our Head of Engineering, this person will play a critical role in leading delivery health, people development, and hiring across a group of engineering squads.

The delivery mission is to industrialize AI-accelerated prototypes, already validated for product and scientific accuracy, into production-grade, enterprise-deployable systems without losing the speed that built them. This person will keep the AI-native delivery loop honest: intent framed sharply, agent-generated work verified before it scales, and accountability always human.

Who We're Looking For

We are looking for an Engineering Manager who multiplies the system rather than routes decisions through themselves.

Someone who has led multiple teams, built teams through hiring and development, and created delivery cultures that can operate in regulated or audited environments. This person should be able to own squad outcomes, protect team focus, partner closely with Product and AI Research, and ensure delivery happens with speed, quality, and strong human governance over AI-assisted work.

Key Responsibilities

• Lead 5-8 engineers across one or two squads, with the ability to grow the group to 12-15 engineers across two or three squads through hiring.
• Own delivery health, including lead time, change-failure rate, and a release rhythm the business can trust.
• Ensure timelines are treated as a budget, not a target to negotiate, with scope reprioritized openly when delivery is at risk.
• Maintain AI governance standards, ensuring every AI-generated or AI-modified change is human-reviewed before merge.
• Partner with the AI Research team on model-quality workstreams with enough AI/ML fluency for a real technical dialogue.
• Partner with Product on a single shared scoreboard for outcomes, scope, and delivery priorities.
• Shield squads as the central point of contact for the Head of Engineering, protecting team focus while priorities shift across the portfolio.
• Support a structure where architecture stays with principal engineers, scope and acceptance with Product, and the release gate with the Scientific org.
• Develop engineers and tech leads through coaching, feedback, performance management, and career growth.
• Lead hiring for the group, including sourcing, interviewing, closing offers, and building strong team foundations.

Must-haves

• Technically credible dev-to-manager path, with 5+ years as a strong senior engineer on distributed systems or SaaS platforms before leading.
• Multi-team management, proven: has led two or more teams concurrently, roughly 10-20 engineers, or managed through tech leads.
• Typically 4+ years managing after a senior IC run.
• Built teams, not inherited them: sourcing, hiring, developing, and managing out, the full cycle, more than once.
• Experience in regulated or audited delivery environments, such as health, fintech, or government.
• Comfortable shipping against a hard release gate with audit trails.
• Still reads code, challenges designs, and can personally judge whether AI-generated code meets the bar.
• Strong delivery ownership, including stepping in when delivery is at risk and owning squad outcomes, including failures.
• Direct communication style, with the ability to communicate risk early as options and trade-offs.
• Curiosity about the why, including users, the clinical problem, and the outcome before process.
• AI-native openness, with visible eagerness to lead AI-assisted delivery where humans frame and verify, and agents generate.

Nice-to-Haves

• AI-first delivery track record: led teams shipping AI-generated code as the default, with human-in-the-loop review discipline.
• Multi-tenant SaaS architecture experience, including tenant isolation, RBAC and entitlements, and secure API design.
• Cloud-native operational literacy, including Kubernetes, CI/CD and GitOps, observability, metrics, logs, and tracing.
• Experience scaling an engineering organization through the 15-to-50 stage inside compressed timelines.
• Experience with LLM or agentic features running in production.
• Stack familiarity with .NET, Node.js, React, Python, and Kubernetes.
• Life sciences or clinical trials background.

Why Join Us

• A dynamic work environment with an international team, where collaboration and diversity thrive.
• Work alongside top talent, united by a shared purpose and committed to making a real impact.
• Comprehensive private health coverage to ensure your physical and mental well-being.
• Hybrid work model offering flexibility to balance your professional and personal life.
• Company events to celebrate achievements and enjoy time together.
• Get equipped with a MacBook to enhance your productivity and work experience.
• Our office is pet-friendly! You'll likely be greeted by a few wagging tails upon arrival.

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