About This Role
Kapiva's BizTech pod is building a set of AI-native products that sit at the intersection of marketing intelligence, operational automation and scalable infrastructure. This role owns that entire surface - from defining what gets built to ensuring it works reliably for non-technical users across marketing, finance, customer success, R&D and operations.
Key Responsibilities
1. AI Marketing Intelligence
- Build the intelligence layer that aggregates signals from customer support, consultations, reviews, consumer calls and social surfacing content gaps, product feedback themes, and demand signals the marketing and product teams can act on
- Own the AI creative generation tool, connecting performance data to automated script and creative iteration
- Define quality and evaluation frameworks for all AI products accuracy metrics, hallucination monitoring, AI vs human performance benchmarks
2. Commerce & Ops Automation
- Own AI automation across customer-facing workflows ticket categorisation, smart routing, response suggestions, automated calls
- Drive automation for high-friction internal workflows across finance, legal, R&D and ops: reconciliation, refund processing, vendor invoice management, supply chain management
- Own admin control panels and internal dashboards for business teams
3. Internal Platform Management
- Own the internal CRM layer health coach workflows, CS case management, CRM journeys, and customer segmentation
- Manage third-party platform integrations, developments, and dependencies across customer engagement, marketing automation, and order management
4. Data Infrastructure
- Manage the CDP data layer customer data structure, enrichment, and CRM integrations
- Work with platform and devops teams to maintain the underlying data product and analytics pipeline
Requirements
Essential
- 57 years of product management experience, with at least 2 years building AI or data-powered products
- Hands-on experience with NLP, text analytics, or conversational AI able to define quality benchmarks, not just write specs
- Experience owning internal platforms, CRM/ERP, or B2B SaaS builds including build-vs-buy decisions
- Strong grasp of integrations work API contracts, data modeling, cross-system workflows
- Ability to translate operational pain from non-technical stakeholders into scoped product requirements
Preferred
- Hands-on experience with CRM platforms such as Salesforce, HubSpot, or Zoho
- Exposure to marketing tech: feed management, audience tooling, or creative automation
- Experience shipping AI-assisted internal workflows, not just using AI tools
- Prior work in D2C, health-tech, or consumer brands with ops efficiency
Working Style
- Comfortable driving the pod's roadmap independently, with limited top-down direction
- Outcome-oriented more interested in measurable impact (cost saved, tickets reduced, hours freed) than feature output
- Able to hold credible conversations with finance, ops, and compliance stakeholders
What Success Looks Like
- Operational efficiency improves measurably. Internal teams spend less time on manual, repetitive workflows.
- AI products ship with a defined quality bar and are measured in production.
- Marketing gets a better signal. The marketing team makes creative and targeting decisions backed by customer intelligence from across the business.
- Cost of running internal operations comes down. Savings are visible and attributable.
- The product and engineering team is not a bottleneck for internal stakeholders. Teams across finance, operations, and customer success can execute without waiting on engineering for routine changes.
