Role Description As lead for Commercial AI Innovation, you will sit at the intersection of Planet's most valuable asset — the world's largest daily Earth observation archive — and the commercial use cases that prove its economic power. You will identify where Planet's imagery, analytics, and AI infrastructure can generate leading economic signals and physical economy intelligence for commercial customers, then rapidly prototype, validate, and scale those concepts into measurable revenue impact. This role is equal parts strategist and builder. You will partner closely with Sales, Customer Success, Product, and Data Science to translate Planet's AI-led product strategy into prioritized roadmaps and customer-ready proof points — moving fast, building proof, and finding the signal before committing full engineering resources. At a moment when Planet is expanding its next-generation constellation fleet and accelerating its analytics and intelligence offerings, this role exists to make sure the commercial organization is equipped to win the next chapter of Earth observation. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: - Identify and prioritize high-value commercial use cases where Planet's imagery archive, Planet Analytic Feeds, Planetary Variables, and embeddings infrastructure generate differentiated economic signals — with emphasis on financial services, supply chain, energy, and infrastructure verticals. - Spearhead a technology innovation pipeline from initial hypothesis through MVP validation, building demo-ready prototypes on Planet's platform well ahead of full product investment. - Partner with Commercial Sales and Customer Success leadership to systematically convert field insight and customer conversations into structured, repeatable AI-enabled concepts. - Provide support to translate validated prototypes into prioritized product roadmap inputs, coordinating across Product, Data Science, and Engineering to create a credible path to scale. - Serve as a senior thought partner to Commercial leadership, framing where AI-driven differentiation is both technically achievable and commercially viable. - Drive adoption of innovation outputs by embedding new tools and frameworks into Sales plays, Customer Success workflows, and partner programs. - Partner with the Education and research liaison on finding new innovation opportunities in academia. - Represent Planet's commercial AI capabilities externally with customers (particularly our largest and most strategic commercial customers), at industry forums, and with the analyst community. Qualifications - 10+ years spanning commercial strategy, customer-facing roles, and data or analytics product development — ideally at the intersection of geospatial, alternative data, or enterprise SaaS. - Deep familiarity with commercial market data use cases: alternative data for financial services, supply chain analytics, physical economy signals, or adjacent domains where satellite-derived intelligence creates decision advantage. - Ability to prototype and pitch AI-enabled concepts to both technical and non-technical audiences — you can build a compelling demo and a compelling business case, and you know which one the room needs. - Working knowledge of the geospatial AI landscape: change detection, image classification, time-series analysis over Earth observation data, and the role of embeddings in enabling semantic query across global imagery archives. - Track record of building momentum in ambiguous, low-resource environments. - Excellent verbal and written communication skills; experience influencing VP and C-suite stakeholders with data-backed narratives. Requirements - Direct experience building or selling into the alternative data ecosystem — hedge funds, commodity intelligence, physical economy indexing, or supply chain analytics. - Hands-on experience with rapid prototyping tools and vibe coding workflows (Cursor, Streamlit, or similar) to build and validate concepts without a full engineering team. - Familiarity with Planet's product suite and the Earth observation competitive landscape. - Experience operating within or alongside a commercial skunkworks or innovation function inside a data or SaaS company. Benefits - Comprehensive Medical, Dental, and Vision plans. - Health Savings Account (HSA) with a company contribution. - Generous Paid Time Off in addition to holidays and company-wide days off. - 16 Weeks of Paid Parental Leave. - Wellness Program and Employee Assistance Program (EAP). - Home Office Reimbursement. - Monthly Phone and Internet Reimbursement. - Tuition Reimbursement and access to LinkedIn Learning. - Equity. - Commuter Benefits (if local to an office). - Volunteering Paid Time Off.

Act as a primary point of contact for system upgrades, analyze alternatives for integration into command systems, and create technical briefs to support informed decision-making for customer-focused engineering solutions.

Role Description 2AI is building fast. We have a founding team, two live program portfolios, government partnerships in India reaching millions of farmers, and a pipeline of opportunities that will drive significant expansion. The programs we are running have credible pathways to 100s of millions of people. What we need now is the person who can turn that momentum into a high-performing, multi-geography program operation and who is energized by that challenge. As 2AI's first Chief Program Officer, you will set programmatic strategy and standards across our Agriculture and Health portfolios, working in close collaboration with our regional leaders, including our India Country Director, and building the program teams, systems, and partner infrastructure required to scale. We have an ambitious goal to reach 100M+ farmers with AI-enabled weather forecasts, while scaling clinical decision support to 10M+ via telemedicine platforms. You will also be a key face of 2AI to funders and partners. As a core member of the leadership team, you will have a meaningful hand in shaping the direction of where 2AI goes next. This is a builder role: recruiting and developing program teams, designing organizational infrastructure that doesn't yet exist, pushing into new geographies and intervention areas. History shows that without a clear driver and coordinated action, complex innovations in the developing world risk languishing for decades. The cost of moving slowly here is measured in lives and livelihoods — hundreds of millions of people who could benefit from AI-powered health and agricultural tools if the field acts with sufficient urgency and rigor. This role exists to prevent that delay. You Will: - Build, Scale, and Learn - Serve as a core member of the executive leadership team, shaping organizational strategy, culture, and enterprise-wide priorities. - Hire and mentor a high-performing leadership team and staff, creating a highly mission-driven culture focused on moving with the scale, thoughtfulness, and urgency required. - Ensure every program has a strong learning architecture: clear hypotheses, rigorous measurement, rapid iteration cycles, and honest reporting. Use cost-effectiveness evidence to guide resource allocation — scaling what earns it, cutting what doesn't. - Develop and steward 2AI's open-sourced playbooks and insights — building durable field knowledge, not just running programs. - Program Strategy & Design - Set and achieve ambitious program strategies for 2AI's Agriculture and Health portfolios — vision, priorities, delivery models, and expansion roadmap — in close collaboration with the CEO and regional and program leads. Achieve high-caliber reach and impact for hundreds of millions of people. - Design and run fast, rigorous pilots. This includes strong measurement and feedback loops from day one, rapid iteration on what isn't working, and clear-eyed calls on what deserves to scale. - Stay at the frontier of AI-enabled solutions for LMICs; actively tracking, testing, and integrating emerging tools and approaches. Bring intellectual curiosity and the ability to learn rapidly in a fast-moving space, translating what's technically possible into what's practically scalable for underserved populations. - Partner with technical and research teams to ensure AI-powered approaches are grounded in rigorous evidence, adapted to local realities, and designed for sustainable delivery. - Build Partnerships and Mobilize Resources - Serve as 2AI's programmatic bridge among AI labs, global development actors, leading researchers, frontline implementers, and regional governments — translating credibly across all of these worlds. - Shape technical offerings in partnership with leading AI labs, including adapting AI tools for underrepresented languages, low-bandwidth environments, and last-mile contexts. - Support regional leaders — including our India Country Director — in navigating government relationships, adoption pathways, and policy enablement, providing strategic input and senior representation where needed. - Lead efforts on fundraising — contributing to compelling narratives for major funders, leading grant development, and making the case for ambitious investment in the portfolio. - Represent 2AI at senior levels in public and private forums, building 2AI's profile as the leading ecosystem coordinator for AI deployment in LMICs. Qualifications - 15+ years of experience building and leading programs in global health, international development, or adjacent fields, with a demonstrated track record of scaling complex initiatives to national or regional scale in low and middle income countries. - A track record as a successful builder: you have built new programs and organizational functions in 3-5 countries, scaled programs nationwide across these countries, recruited and developed top talent, and cultivated a culture of rigor and urgency. - Experience with AI clinical decision support, digital health, or AI in agriculture at the program design or deployment level is preferred. - Experience in fundraising or major donor engagement — comfortable making the case to large HNW or institutional funders. You have raised $5M+ annually. - Familiarity with how African and/or Asian governments operate, with enough experience to support regional leaders in navigating institutional processes. - Experience bridging technical and programmatic worlds — global health delivery, market-shaping, technology for development, or related fields. Comfort translating between AI labs, researchers, delivery organizations, and government counterparts. - Strong AI fluency: strong working knowledge of frontier AI tools and LLMs, and their practical application in low-resource settings. Active curiosity about frontier development. - Existing relationships with major global health or agriculture funders, including bilateral donors, large foundations, and tech sector philanthropists a plus. Requirements - This role location is flexible anywhere within the United States for fully remote candidates. - We are unable to sponsor or take over sponsorship of a U.S. employment visa at this time. - Applicants must be legally authorized to work in the U.S. for roles based in the U.S. Benefits - Comprehensive benefits including international health care, HSA/FSA options, life insurance, disability coverage, retirement plans with a matching component, generous and flexible leave options, as well as other employee perks on a reimbursement basis. Company Description Evidence Action is an Equal Opportunity Employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. The expected role range for this US position is listed below. We consider multiple factors when determining the base salary for a role, including but not limited to: role scope, program budgets, internal equity, and a candidate's qualifications and/or prior experience. Note: Pay and benefits will be commensurate with the role specifications, local statutory requirements, and the cost of labor in the markets where we operate. The pay range for this role is $210,000 - $250,000 per year. This role will initially be housed at Evidence Action, with the explicit plan to transfer with the AI Access Initiative as a founding member of the team when that project is spun out as a new entity later this year. At that point, benefits and policies may change.

• Review AI-generated student responses • Evaluate AI-generated feedback • Help ensure the quality, accuracy, and effectiveness of the learning experience