General Information

Description and Requirements

Job Description

**Please note that this role is not remote and requires onsite presence up to five days per week. While there may be an opportunity to transition to a hybrid work arrangement in the future, candidates should be comfortable with and able to meet the current onsite requirements.**

Delivery Director - Product Engineer

AI-native product engineering leader who owns the AI-native delivery system and engineering practice across a portfolio of programs and the leaders who run them.

What You'll Do

As a Delivery Director-level Product Engineer in Slalom's Cloud-Build capability, you are accountable for product outcomes, technical quality, and the AI-native delivery system across large, complex, AI-enabled programs or a portfolio of smaller projects and programs. You partner with client executives, product owners, and engineering leaders to translate strategy into portfolio-level product direction and investment cases, lead the Product Engineers and managers who run the work, orchestrate mixed teams of people and AI agents, and align with Cloud-Build and cross-functional go-to-market leaders so engineering excellence becomes lasting client value. You set the technical and AI-workflow standard for the practice, so every program traces back to a measurable business outcome. Core responsibilities include:

• Owning product outcomes, technical quality, and delivery performance - roadmaps, forecasts, and margin - across your programs and projects, measured in OKRs, KPIs, and ROI.
• Defining and evolving the practice's AI-native engineering system - context engineering standards, specifications, prototyping and experimentation patterns, prompts, agents, templates, and workflows - and championing scalable, ethical AI adoption with Solution Architects and AI specialists.
• Setting technical direction for AI-enabled delivery across programs - toolchain, repositories, integrations, and agentic orchestration - and ensuring teams build on it.
• Translating client strategy into portfolio-level product direction - moving from ambiguity to specifications, prototypes, and validated investment cases.
• Partnering with delivery leadership to align governance, risk management, and delivery health across programs and to staff the right roles on the right programs.
• Leading, mentoring, and growing Product Engineers and managers - building technical depth, AI fluency, specialization, and practice leadership - so they become AI-native, business-minded technical leaders.
• Building and deepening relationships with client executives and decision-makers, and leading value-based conversations about AI, engineering approach, and return on investment backed by experiment results.
• Partnering with sales and go-to-market leaders by lending technical credibility to pursuits and solution offerings - AI-native and agentic products, rapid prototypes, and AI-enabled modernization.
• Leading teams and clients through change - creating psychological safety for experimentation and clarifying where accountability sits between people and AI-assisted workflows.

What You'll Bring

You are a curious problem solver and bring extensive experience leading software delivery and engineering at program and portfolio scale, with a track record of owning product outcomes and financial performance - not just outputs - across multiple concurrent, complex programs. You demonstrate:

• Proven success leading complex, multi-workstream projects and programs, with accountability for roadmap, financials, and technical quality.
• Strong technical fluency - comfortable in code, repositories, IDEs, version control, and AI-enabled engineering tools, and credible with engineering and architecture leaders.
• Proven success building and scaling AI-native ways of working - context, specifications, prompts, agents, and workflows - across build, test, and delivery.
• Experience orchestrating AI-centric delivery - smaller teams, AI across build and test, and measurable gains in timelines and cost - and refining it as practices evolve.
• Strong business acumen with the ability to connect client needs to scalable, AI-enabled solutions and demonstrate return on investment.
• Demonstrated ability to influence executives and communicate effectively across technical and business audiences.
• Strong risk identification, escalation, and mitigation skills across a portfolio - managing ambiguity with minimal oversight.
• Experience mentoring and managing technical delivery leaders, including managers, with a focus on building high-performing teams.
• Comfort with ambiguity, a passion for innovation, and a commitment to delivering measurable outcomes.

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for Director is $195,000 to $244,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: [redacted]. Please note, this recipient is not able to support recruitment inquiries beyond this purpose.