Deployment Lead
Aaru
Deployment Lead
Aaru
AI-driven multi-agent forecasting platform
Aaru operates at the bleeding edge of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners use Aaru to refine strategic positioning, identify and understand high-value audiences, validate concepts and messaging before launch, optimize pricing decisions, and build a continuously richer understanding of their customers through simulation. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time.
We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together.
As a Deployment Lead, you will manage client relationships at Aaru from initial contact through long-term collaboration. The Deployment team partners with clients to configure tailored analyses and deliver simulation-driven insights directly to senior client stakeholders. You will work closely with Aaru's founders to serve a wide variety of clients, addressing an even broader range of challenges using the most exciting predictive technology since the astrolabe.
Own client relationships end-to-end, from discovery and scoping through deployment and long-term collaboration
Represent Aaru in senior client settings — CEOs, CMOs, and C-suite equivalents — with the presence and polish to make every interaction land
Execute complex, high-quality deliverables independently and at speed, translating rough direction into client-ready outputs
Coordinate across engineering, product, and commercial teams to keep deployments on track and clients well-served
Identify and scope new engagement opportunities across industries
You have 4+ years at a top consulting firm, investment bank, or in a strategic operations role at a high-growth startup — and you've owned workstreams or client relationships, not just supported them
You're self-directed in ambiguity — you can shape an unclear ask into a crisp workstream, flag issues early, and deliver without hand-holding
You have strong analytical skills and can work fluently with complex data and communicate findings clearly in writing and in person
You're excited to work fully in-person in and bring genuine curiosity about AI and global affairs
Have operated across multiple countries in the APAC region and can navigate the commercial, cultural, and regulatory differences between markets
Have proficiency in Python or familiarity with AI tools and complex software
Have a background in technology or engineering
Have experience implementing and executing projects across long timescales
Have a background in traditional market research and consumer insights (e.g., survey design, focus groups, quantitative/qualitative analysis, syndicated data sources) with a strong foundation in translating research findings into actionable business recommendations
This role is based in Singapore. Aaru is an in-person company, working 5 days a week in office. Candidates are expected to be located within the country or open to relocation.
At Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.
Aaru uses multi-agent simulations to forecast outcomes in political polling, business strategy, and global issue modeling. It builds virtual models of real-world actors, runs scalable cloud simulations, and uses machine learning to turn results into actionable forecasts. It differentiates itself by applying multi-agent forecasting to deliver more scenario testing at a lower cost than traditional polling, serving major policy groups and Fortune 500 companies. Its goal is to expand beyond elections to tackle a broader set of societal and business challenges with AI-driven analytics for decision-making.
Explore more opportunities at Aaru