Product Manager
Confirmed on the employer's own hiring board on Oct 3, 2026. First seen by Alion on Jun 24, 2026.
About Metaforms
At Metaforms, we're redefining how market research gets done.
Market research still runs on legacy survey platforms, manual project operations, fragmented handoffs, and domain expertise locked in a few specialists' heads. Metaforms is building the agent layer that makes this work dramatically more efficient - without lowering the bar for quality, accuracy, or client trust.
Our vertically integrated AI platform empowers agencies like Dynata, Savanta, and Borderless Access to scale 10x faster, with AI Agents augmenting survey programming, data processing, and project management. We process 1,000+ surveys monthly, serve agencies working with Fortune 500 companies, and are backed by $9M in Series A funding to aggressively scale.
The product surface here is unusual. Surveys behave like programs, business workflows contain hidden operational nuance, and a small mistake creates real downstream cost for an agency and its clients. Product thinking at Metaforms isn't about copying familiar SaaS patterns - it's about understanding how work actually gets done, identifying where AI agents can reliably help, and shaping systems that feel intuitive to users while introducing genuinely new workflows underneath.
The Role
We're hiring a Product Manager to define and ship new AI-native products and workflow experiences for research operations. The role sits at the intersection of user discovery, domain synthesis, product design, and engineering execution.
You'll go end to end - from interviewing users and subject matter experts, to identifying operational bottlenecks, to translating business needs into concrete requirements, to partnering closely with engineering through delivery.
This is a high-ownership role for someone who thrives in ambiguous spaces, reasons from first principles, and builds from zero rather than relying on existing category templates.
What You'll Own
User Discovery & Problem Definition
Conduct frequent interviews with research operators, project managers, survey programmers, and agency leaders to understand how work actually happens
Turn messy qualitative input into clear product insights, problem statements, and opportunity areas
Work closely with subject matter experts to separate surface requests from deeper workflow and systems problems
Build conviction on where AI agents can remove manual effort, improve turnaround, or raise quality - without disrupting critical trust points
Product Design & 0→1 Development
Define new product concepts, workflow patterns, and operating models for AI-assisted research work
Design familiar-feeling user journeys that introduce new capabilities without overwhelming users
Write requirements specific enough for engineering to execute, while preserving room for iteration where the solution space is still emerging
Iterate rapidly on prototypes, internal feedback, and early customer usage to converge on products that are both useful and operationally viable
Cross-Functional Execution
Translate business requirements into clear engineering asks - scope, constraints, acceptance criteria, and edge cases
Partner tightly with engineering, design, operations, and domain experts through the build cycle
Drive prioritization by balancing customer value, technical feasibility, reliability risk, and speed
Ensure the team is solving the right problem, not just shipping the fastest version of the first idea
Product Quality & Adoption
Define what "good" looks like for product outcomes, user trust, and workflow adoption
Identify failure modes in user flows, handoffs, and agent behavior - especially in high-consequence operational steps
Close the loop between shipped behavior, customer feedback, and roadmap decisions
Own rollout, onboarding, and change management with customer success and operators so new workflows land in real agency production - including how adoption and efficiency gains are measured
Representative Problems You Might Work On
Designing an AI-assisted workflow that turns a raw client questionnaire into an executable survey build process
Creating review and approval loops where human operators guide or validate agent output without adding unnecessary friction
Reworking a fragmented project-management flow into a single experience that makes bottlenecks, state, and exceptions visible
Defining how internal subject matter experts collaborate with product and engineering to encode operational knowledge into a scalable system
Building product surfaces that feel familiar to agency teams while delivering step-change improvements in speed and efficiency
What We're Looking For
Must-have
Proven product management experience shipping software from concept to launch
Demonstrated ability to operate in ambiguous, early-stage, or zero-to-one environments
Strong user discovery skills - interviewing, pattern extraction, and synthesis into product direction
Comfort going deep with subject matter experts and operational stakeholders in initially unfamiliar domains
Ability to write requirements engineering can execute without a translator - including constraints, edge cases, and failure modes
Strong product judgment across scope, workflow design, trade-offs, and iterative delivery
Willingness to reason about AI/agent behavior in production: when to trust automation, when to require human review, and how quality and reliability show up for users
Bias toward defining and tracking workflow outcomes (speed, quality, trust, adoption) - not just shipped scope
Excellent written and verbal communication; direct, high-ownership style under incomplete information - clarity over polish, and willingness to call out when direction is wrong
Nice-to-have
Experience building AI-native, automation-first, or workflow software - especially human-in-the-loop or reliability-sensitive systems
Experience partnering closely with engineering on technically complex platforms
Experience on products used by operations teams, services teams, or expert users
Exposure to market research, survey tooling, data operations, or adjacent workflow-heavy B2B domains (high-leverage, not required)
How Success Looks
Users say the product fits how their work actually happens - not how software teams assumed it happened
Engineering gets clear, high-signal product inputs and moves fast without repeated ambiguity tax
New workflows feel intuitive enough to adopt, while delivering meaningful gains in speed, quality, or operational leverage
Shipped workflows show measurable gains in turnaround, quality, or adoption, with failure modes understood and managed - not just features launched
Why Metaforms
Work on AI products operating in real production environments - not demos or feature theater
Shape entirely new workflow categories instead of incrementally copying existing tools
Join a team where product, engineering, and domain understanding are tightly coupled
Operate with high ownership, fast iteration loops, zero bureaucracy, and direct influence on what gets built
Benefits
Full family health insurance
$1,000 USD annual reimbursement for skill development
Dedicated mentor/coach support
Free lunch and dinner at the office
Monthly food and snacks allowance