Commercial Lead (Venture Discovery Pod)

About the company:

Altellect is a strategic venture ecosystem that builds, operates, and scales intelligent, high-growth startups across diverse sectors. As we expand our portfolio, we’re looking for passionate and driven professionals to join us in shaping the future of our ventures. We are on a mission to build and launch 10+ product-led businesses across multiple technology domains.  At Altellect, you’ll help lay the foundations of innovation - from people and products to culture and performance - as we transform ideas into thriving businesses. 

Role Objective: 

Own the commercial spine of new ventures in the CVA pod – market and competitive insight, pricing, unit economics, and investment committee (IC) narratives – to ensure only commercially attractive and scalable AI-native ventures move from idea to MVP and beyond.

Who’s it for?

This role suits an entrepreneurial mind with sharp commercial acumen who enjoys moving across sectors (wellness, health, travel, marketplaces, and more), can zoom from macro-market maps to spreadsheet-level unit economics, and loves turning messy discovery signals into crisp, Investment Committee (IC)-ready venture stories.

Key responsibilities:

1. Market and Competitive Insight:

   • Map markets, segments, and value chains across multiple sectors to identify attractive opportunity spaces and white spaces.

   • Analyze competitors, substitutes, and adjacent models to position each venture with a compelling and defensible edge.

1. Pricing, Business Model, and Unit Economics:

   • Design and test pricing models (subscription, transactional, marketplace, hybrid) and revenue architectures for each concept.

   • Build and iterate unit economics, cohort logic, and payback models (CAC, LTV, contribution margin, breakeven points) to support kill/scale decisions.

1. IC Narratives and Venture Business Cases

   • Synthesize discovery, technical feasibility, and commercial analysis into clear venture theses, one-pagers, and IC decks.

   • Define key commercial milestones and metrics (e.g., target GMV, ARPU, payback periods) for the first 12–24 months of each venture.

1. Experiments and GTM Hypotheses

   • Partner with AI PM to frame and run commercial experiments: smoke tests, pricing tests, landing pages, and early funnel experiments.

   • Translate experiment data into refined GTM hypotheses, segment focus, and channel strategies.

1. Portfolio and Pod Collaboration

   • Work closely with CVA, AI PM, and AI Engineer to prioritize concepts with the best commercial upside and risk-adjusted potential.

   • Contribute to a shared library of market maps, benchmarks, and commercial playbooks for the studio.

Domain expertise and experience:

• Strong grounding in business models and GTM for digital products: subscriptions, marketplaces, SaaS, and/or consumer services.

• Comfort working sector-agnostically across wellness, health, travel, and other verticals, with the curiosity to rapidly understand new markets.

• Familiarity with AI-native products and how AI changes value propositions, cost structures, and margins is a strong plus.

Must-Haves (Elimination Criteria)

• 5–8 years in strategy consulting, VC/PE, product strategy, or venture building with direct experience in market sizing, pricing, and unit economics modeling.

• Demonstrated experience building financial/operating models and investment memos or business cases for new products or ventures.

• Strong analytical and storytelling skills – can move from spreadsheet to narrative and influence decisions with clarity.

• High ownership, comfort with ambiguity, and ability to juggle multiple concepts in parallel while maintaining commercial rigor.

Good-to-Haves

• Prior experience in a venture studio, corporate venture building, or startup incubation environment.

• Exposure to AI/tech ventures and understanding of metrics that matter for SaaS, marketplaces, and subscription businesses.

• Experience working closely with product and engineering teams to shape roadmaps based on commercial leverage points.

Qualification:

• Bachelor’s in Business, Economics, Finance, Engineering, or Mathematics.​

• Preferably an MBA or equivalent postgraduate degree with focus on strategy, finance, or entrepreneurship.