Director, Engineering

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
HR Tech
The Role
Leads 3–4 engineering teams building AI automation, intelligent workflows, and data capabilities for an enterprise SaaS platform. Owns technical direction, architecture, delivery priorities, engineering quality, reliability, observability, and capacity planning. Partners with Product and Operations to convert manual work into scalable platform features. Requires production experience with AI agents, GenAI, RAG, orchestration, tool-calling, and enterprise cloud systems, plus a strong record of hiring and developing engineering leaders.
Summary Generated by Built In

Who We Are
 

Magnit is the future of work. Serving hundreds of the world’s most recognizable brands for the past 30+ years, Magnit offers the industry’s first holistic platform for the modern workforce. Magnit's integrated workforce management (IWM) platform supported by data, software, intelligence, and best-in-class services team is key to our clients’ success. It can adapt quickly to regional or industry economic shifts, and provides the speed, scale, flexibility, transparency, and expertise required to meet an organization’s contingent workforce management, talent strategy and broader organization goals. At Magnit, you’ll work with passionate colleagues who collaborate and deliver meaningful results that positively transform the largest companies around the globe. 

 

As Director of Engineering for Operations & AI Automation, you'll own the engine room of the Magnit Global VMS platform, the systems that power clients, suppliers and workers with intelligent workflows, and the data layer underneath. You'll lead 3–4 teams  building agentic capabilities, automation, and insights that turn manual operational work into product. You'll set technical direction, raise the engineering bar, and partner closely with Product, Operations to ship outcomes that customers feel.

This is both hands-on-the-keyboard, hands-on-the-strategy role for a leader who has shipped real AI into production, not slideware, and who knows the difference between a demo and a system that large number of enterprise users depend on at 9am Monday.

What you'll do
  • Lead the org. Manage and grow 3–4 engineering teams across the product line. Hire, coach, and develop managers and senior ICs.
  • Set technical direction. Own architecture, delivery priorities, and engineering standards across your teams. Make the trade-offs that matter, build vs. buy, speed vs. reliability, automation vs. headcount.
  • Build with AI, not around it. Ship production-grade AI agents, RAG systems, workflow orchestration, and tool-calling capabilities. Drive measurable reduction in manual work and meaningful lift in operational accuracy.
  • Turn operations into product. Partner with Product, Operations to convert recurring operational pain into reusable platform capabilities, anomaly detection, intelligent reporting, decision support, automated workflows.
  • Raise the engineering bar. Drive excellence across architecture, code quality, testing, CI/CD, observability, security, and release management. Improve delivery predictability and platform reliability quarter over quarter.
  • Use data as a product asset. Mine platform data for risk signals, efficiency gaps, and product opportunities. Make data-driven prioritization the default, not the exception.
  • Plan capacity, ruthlessly. Balance roadmap delivery, automation investment, technical debt paydown, and innovation across teams. Defend the long-term while shipping the quarter.
  • Build the culture. Establish clear ownership, high standards, and a high-performance, low-drama team culture. Develop the next layer of engineering leaders under you.
What you'll bring
  • 10+ years of engineering experience, including 5+ years leading engineering teams (managers reporting to you is a plus).
  • Track record of leading teams that built and scaled enterprise SaaS platforms, VMS, workforce management, procurement, FinOps, HR Tech, or workflow automation.
  • Practical, production experience with AI agents, GenAI, RAG, agent orchestration, tool-calling, and AI evaluation. You've shipped this in front of real users, not just prototyped it.
  • Strong fluency in cloud platforms (AWS), microservices, APIs, event-driven systems, DevOps, and observability.
  • Demonstrated ability to improve engineering quality, delivery predictability, platform stability, and team performance  and the metrics to prove it.
  • Strong product mindset. You connect technology decisions to customer value and business outcomes, and you push back when the math doesn't work.
  • A track record of hiring, developing, and retaining strong engineering talent, including managers.
Nice to have
  • Domain depth in worker engagement, vendor/staffing operations, or enterprise workflow automation.
  • Experience shipping analytics, dashboards, anomaly detection, recommendation engines, or conversational insights at scale.
  • Experience operating global, multi-region platforms across diverse customer segments.

 

What Magnit will Offer You
 

At Magnit, you’ll be joining an innovative, high-growth environment and can quickly make an impact to help transform the largest companies in the world. You will work with passionate colleagues who collaborate and deliver. Magnit offers all employees the opportunity for growth and development, and we want individuals to fulfill their potential and blaze their own trails!
 

Magnit will offer you a competitive PTO and benefits package, including medical, dental, and vision coverage, retirement planning, as well as discounts and perks for tickets, travel, merchandise and more! Magnit encourages employees to participate in giving back, and we will match employee contributions to favorite charities and support corporate volunteering hours to make a difference in your community!
 

If this role isn’t for you

Stay in touch, we will let you know when we have new positions on the team.
To see a complete list of our open career opportunities please visit.

https://magnitglobal.com/us/en/company/careers.html

To do our best work we need different viewpoints. Therefore, we celebrate diversity and embrace inclusion.

 

As an equal opportunity employer, we are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills.  We strive to ensure that we maintain a positive and enriching work environment for all.


By applying to this role, you consent to Magnit safely storing and managing your personal data. Please read this link to learn more.  
https://magnitglobal.com/us/en/privacy-notice.html 

Skills Required

  • 10+ years of engineering experience
  • 5+ years leading engineering teams
  • Experience leading teams that built and scaled enterprise SaaS platforms, VMS, workforce management, procurement, FinOps, HR technology, or workflow automation systems
  • Production experience with AI agents, generative AI, RAG, agent orchestration, tool-calling, and AI evaluation
  • Strong fluency with AWS, microservices, APIs, event-driven systems, DevOps, and observability
  • Demonstrated ability to improve engineering quality, delivery predictability, platform stability, and team performance
  • Strong product mindset connecting technology decisions to customer value and business outcomes
  • Track record of hiring, developing, and retaining engineering talent, including managers
  • Experience with worker engagement, vendor or staffing operations, or enterprise workflow automation
  • Experience shipping analytics, dashboards, anomaly detection, recommendation engines, or conversational insights at scale
  • Experience operating global, multi-region platforms across diverse customer segments

Magnit Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Magnit and has not been reviewed or approved by Magnit.

  • Healthcare Strength — Direct employees receive medical, dental, and vision coverage as part of a comprehensive benefits package. EOR arrangements are also described as providing access to medical coverage alongside financial wellness tools and on‑demand pay.
  • Leave & Time Off Breadth — Direct employees are offered competitive PTO with additional support for corporate volunteering hours and, in some materials, paid volunteer days. This indicates structured time‑off provisions when engaged as internal staff.
  • Retirement Support — Access to a 401(k) is available to direct employees and is also referenced for workers under EOR programs. Some contractor engagements note availability of 401K options when managed through the platform.

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The Company
HQ: Folsom, California
3,422 Employees
Year Founded: 1991

What We Do

Magnit™ (formerly PRO Unlimited) is a global leader and pioneer in contingent workforce management. Our industry-leading Integrated Workforce Management (IWM) platform is supported by 30+ years of innovation, modern software, proven expertise, and world-class data and intelligence. It enables companies to optimize talent and diversity goals while achieving operational and financial success. With Magnit, companies can adapt quickly to the evolution of work to grow their extended workforce with greater agility, transparency, and speed.

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