Senior Product Owner (AI/ML) to $7000

Screening requirements (please read first):

• Non-negotiable: hands-on experience with process mining or task mining and ML/AI models used to analyze operational workflows (workflow discovery, variants, bottlenecks, cycle time, handoffs, deviations).
• Required: a 2–5 minute intro video link in your resume or via the platform (smartphone recording is fine). Applications without the video may not be reviewed.

Company overview:
 

Graphio.ai stops revenue loss before it happens by detecting broken handoffs between teams.
 

We analyze API-enabled metadata from your existing systems to automatically identify when Sales, Customer Success, Legal, Finance, Product, and Operations are misaligned - before deals stall, renewals fail, or contracts slip.
 

No workflow changes. Fast rollout in less than 2 days.

AI learns what successful execution looks like in your company and alerts you to dangerous deviations in real time.

We’ve built and scaled before: the team behind Graphio.ai previously built upSWOT, a B2B platform adopted by hundreds of financial institutions, which was later acquired by Uptiq.  We’re applying those lessons in execution, delivery, and scale to Graphio.ai.

Supported by senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, SAP, JackHenry, FIS, Pfizer, Workday, Customertimes, and more (graphio.ai/investors).

Position Overview:

We are looking for a Product Owner (AI/ML) - Workflow Intelligence who can combine strong product ownership with senior-level analytical rigor.

You will own a core slice of Graphio.ai end-to-end: system connection experience, metadata collection and processing, automatic ideal workflow (golden path) generation, deviation detection, and weekly/monthly reporting delivered to a single accountable owner. At the same time, you will operate hands-on as a senior product analyst: defining metadata requirements, deviation criteria, evaluation and monitoring, and the test scenarios that keep model behavior stable and product-ready.

This role is rooted in workflow-driven B2B SaaS execution, where cross-team handoffs determine whether deals move forward, renewals succeed, and contracts get signed on time.

Key Responsibilities:

• Own the product backlog and execution for workflow intelligence: prioritize, define scope, drive delivery, and ship improvements with clear success criteria.
• Partner with the Machine Learning Engineer to define how the system automatically discovers and constructs the ideal workflow (golden path / best-performing execution pattern) from API-enabled metadata - including inputs, assumptions, and expected outputs.
• You will not manually build or validate customer workflows. Your job is to define requirements, data definitions, and evaluation criteria so the model generates the ideal workflow reliably and consistently.
• Translate customer process reality into modeling requirements: what a workflow step is, how handoffs are represented, how similar workflows are grouped, and how “successful execution” is determined at scale.
• Define metadata-first data requirements: event taxonomy, entities, identifiers, timestamps, ownership fields, system-of-record rules, and data quality constraints.
• Specify deviation definitions and prioritization: missing step, wrong sequence, excessive delay, broken ownership transition, stalled handoff - and how severity is ranked.
• Own the user-facing experience for reviewing and editing the ideal workflow: allow customers to add/remove steps and adjust what “good execution” means, while preserving a reliable baseline generated by the system.
• Own weekly/monthly reporting and alerting: what insights are surfaced, how they are explained, and how reports/alerts are delivered to the accountable owner (a specific responsible person).
• Establish evaluation, monitoring, and quality gates for model-driven behavior: misses vs false alarms, consistency of the generated ideal workflow, drift signals, lead time gained, and actionability tied to revenue outcomes.
• Run investigations for accuracy issues: analyze why the system generated an incorrect ideal workflow or missed a deviation, propose improvements, and validate fixes through regression checks.
• Maintain a library of reference workflows and test scenarios that represent common cross-team handoff patterns and failure modes, and use it for regression coverage across releases.
• Align stakeholders and drive clarity: convert ambiguous asks into decisions, keep execution moving without heavy process, and ensure releases are understandable and actionable for end users.

Preferred Qualifications:

• 4+ years in Product Owner / Product Manager roles, or in senior product business analysis roles with real product ownership scope.
• Experience shipping AI/ML-enabled features in B2B SaaS where model behavior directly impacts users and decisions.
• Strong background working with event-based data and operational systems (CRM, customer success platforms, ticketing systems, project management tools, finance/contract systems).
• Comfort defining data contracts: event taxonomy, entity identifiers, timestamp conventions, ownership fields, system-of-record rules, and data quality constraints.
• Familiarity with workflow analytics / process mining concepts (handoffs, cycle time, variants, bottlenecks).
• Strong analytical discipline: defining evaluation criteria, monitoring misses vs false alarms, and connecting model output to business outcomes.
• Strong written communication, ability to drive decisions, and comfort operating in ambiguity with a small high-ownership team.
• Prior work in early-stage or fast-scaling environments where you owned problems end-to-end and shipped iteratively.

What we offer:

• A combined role with real ownership: product decisions + analytical depth, with direct influence on core workflow intelligence.
• Close collaboration with the Machine Learning Engineer and Software Engineers to ship - not just plan.
• Clear success criteria: higher actionability, fewer false alarms, fewer missed deviations, better weekly/monthly reports, faster time-to-value.
• Fast feedback loops using real customer workflows (metadata only).
• Exposure to cross-team execution patterns across Sales, Customer Success, Legal, Finance, Product, and Operations.
• Remote-friendly team with a simple setup and low overhead.
• Competitive compensation and room to grow as the product and team scale.

Company Operating Requirements:

At Graphio.ai we run a high-ownership, mission-driven team with clear operating rules. Please read these carefully before applying:

• LinkedIn profile is required (company policy). Employees are required to keep a current LinkedIn profile that shows their Graphio.ai position and is linked to the official Graphio.ai company page (company logo visible on the profile). Profile standards are provided during onboarding.
• Synchronized team vacations. The team takes coordinated time off four times per year to keep planning aligned and reduce context switching. Dates are announced in advance.
• Startup constraints. Vacation timing may be restricted during critical company periods. We plan time off as a team and communicate constraints early.
• Relocation readiness. Team members may reside in Ukraine, but must be prepared to relocate with their families to Europe or the United States if the company requests it and it becomes legally possible. Any relocation would be discussed in advance.
• Non-standard schedule. The role requires flexibility to collaborate across time zones. This may occasionally include early/late meetings depending on customer and team needs.
• US Eastern Time (ET) collaboration. This role requires regular overlap with US East Coast (ET) working hours. You must be comfortable running meetings, follow-ups, and execution in that time zone.
• Zero slow offboarding. We run lean and fast. When the fit isn’t there, we act quickly: employment may be ended within a day and access is removed immediately.

Application requirement: short intro video (required):

Please include a short self-introduction video (2–5 minutes). You can add the link directly to your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar).

• No need for a polished production, a simple smartphone recording is perfectly fine.
• This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
• In the video, please cover:
  • Who you are and 2–3 measurable outcomes you delivered in recent roles
  • Why you are applying for this role at Graphio.ai
  • Why you are leaving or have left your previous role
  • Your view on how a high-ownership startup team should operate (pace, ownership, communication, and work-life balance expectations)
• Applications without the video may not be reviewed.

Final note:

Graphio.ai is not a 9-to-5 corporate environment. We move fast, operate with high ownership, and expect proactive execution without micromanagement. Graphio.ai is a strong fit for people who actively seek challenges for personal growth - especially those who want to build their own company one day and see this as a place to learn how high-performing startups execute.