Senior Product Manager

Alined Consulting Group; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Alined Consulting Group in Chicago seeks a Senior Product Manager who will own AI-driven products end to end, from discovery through delivery and validation. You’ll shape the strategy, set the roadmap, and align cross‑functional teams around impact.

You bring 5+ years of product leadership, deep technical acumen, and a data‑driven approach in Agile environments. You’ll guide AI-assisted research, prototypes, and customer conversations while guarding privacy and bias.

Qualifications

• 5+ years owning products end to end (strategy, roadmap, execution).
• Strong collaboration with Engineering and cross-functional teams.
• Detail-oriented storytelling with user-centric focus.
• Data-driven problem solving in an Agile setting.
• Experience using AI to inform product decisions.

Responsibilities

• Own product strategy and roadmap for your business unit.
• Lead discovery, requirements, prioritization, and delivery with AI assistance.
• Turn AI-generated insights into priorities and metrics.
• Draft PRDs and user stories, validating scope and dependencies.
• Collaborate with Sales, Customer Success, and clients to align on vision.
• Prototype concepts and test with stakeholders before engineering.
• Ensure privacy, bias, and governance when using AI in products.

Skills

Product ownership

Technical acumen

Backlog discipline

Analytical mindset

Agile experience

AI literacy

Job description

We're looking for a Senior Product Manager who already uses AI throughout the product lifecycle. This is a high-leverage role: you'll spend more time on the judgment calls only a PM can make — framing the problem, validating what AI surfaces, deciding what actually matters — than on the manual research, drafting, and synthesis AI now does well. You'll use assistants like Claude and ChatGPT daily to accelerate research, requirements, and prototyping, then apply your own product judgment to what comes back before it shapes the roadmap.

What You'll Do

• AI changes what your time goes toward. You're still accountable for the full product lifecycle — discovery, requirements, prioritization, delivery, validation — but your hands-on role in each shifts.
• Own product strategy and roadmap as your core contribution. You set direction for your business unit — priorities, tradeoffs, and the roadmap — and align leadership and cross-functional teams around it.
• Direct AI-accelerated discovery, not manual synthesis. Use AI to turn customer interviews, support tickets, competitor material, and market research into insights — then apply judgment to what's actually true and what matters.
• Draft requirements with AI, then own the judgment calls. PRDs, user stories, and acceptance criteria start with AI — you validate scope, edge cases, dependencies, and prioritization before the team builds against them.
• Prototype before you commit engineering effort. Use AI tools to generate interactive mockups and working demos, and test ideas with stakeholders and users while they're still cheap to change.
• Turn AI-surfaced data into decisions, not just dashboards. Direct AI to analyze usage and product data and generate hypotheses; you decide what's worth an experiment and own the success metrics.
• Engage directly with customers and internal customer-facing teams. Bring product thought leadership and vision to sales, customer success, and Client conversations, and equip customer-facing teams with the product knowledge and direction they need.
• Raise the bar for how Product works with AI. Collaborate with other PMs on building and refining the prompts, templates, and guardrails, and holding the team accountable for accuracy, bias, and privacy — especially with sensitive behavioral health and absence data.
• Other duties as assigned.

What We're Looking For

• 5+ years owning products end to end — strategy, roadmap, and execution — not just a slice of someone else's.
• Deep technical acumen and a real partnership with Engineering, with enough command of system constraints and tradeoffs to make good calls without being told the answer.
• A backlog discipline you can defend: writing detailed stories, prioritizing under pressure, and unblocking a cross-functional team without becoming its bottleneck.
• An analytical, data-driven approach to problem-solving, with experience working in an Agile environment and driving initiatives through influence rather than authority.
• AI is already part of how you work, not something you're curious about. You use assistants like Claude and ChatGPT daily for research synthesis, PRD and story drafting, prototyping, or data analysis — and can point to outputs you caught before they shipped.
• Sound judgment about when to trust AI and when not to, including real awareness of hallucination risk, bias, and data-privacy considerations — especially with regulated or sensitive data.
• A track record of helping teams adopt new tools and ways of working. You don't just use AI well yourself — you raise the floor for everyone around you.