Sales Forecasting Expert

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November 25

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Weekday (YC W21)

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Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

📋 Description

• Develop “gold-standard” peak-sales forecasts for representative drug programs using provided prompts, TPPs, and analogs. • Establish structural checks, scenario logic, and sanity thresholds for automated evaluation of forecasts. • Make explicit the heuristics, base-rate assumptions, and pattern-recognition principles that experienced forecasters use to distinguish credible projections from speculative ones. • A benchmark-quality peak-sales forecast including peak value and a revenue curve across key years. • A 3–5 point narrative on primary value drivers and 2–3 downside risks. • A structured evaluation framework for forecast credibility. • Commentary revealing expert forecaster reasoning, including: • - How base rates and analogs are selected • - How optimism is tempered (payer pushback, access constraints, share ceilings) • - How to identify implausible model structures or magnitudes

🎯 Requirements

• Director/Senior Director/VP-level experience in global forecasting, brand planning, or commercial insights. • Proven track record building and defending patient-based peak-sales models used for BD, portfolio, or investment decisions. • Experience forecasting across multiple drugs or indications, especially pre-launch through early commercialization. • Ability to clearly explain assumptions around penetration, price, ramp curves, LOE, and how they evolve post-launch. • Familiarity with preparing governance-ready peak-sales models for executive committees or investor-facing reviews. • Senior biotech equity analyst or VC/Buy-side professional experienced in incubation, company creation, or asset diligence. • Built patient-level and revenue models used for valuation, investment diligence, or transaction decisions. • Ability to critique bottoms-up forecasts and identify optimistic biases, flawed analogs, or unrealistic model structures. • 10–15 years in biotech/pharma forecasting, investment, commercial strategy, or related fields. • Experience covering pre-launch forecasts through post-launch actuals for multiple assets. • CV bullets like: • - “Led global forecast for [drug]” • - “Owned long-range revenue planning and peak-sales scenarios” • - “Built patient-based models for portfolio decisions” • Deep comfort with market modeling logic including: TPP → eligible pool → penetration → pricing/net → ramp curve → LOE • Ability to explain real vs. modeled outcomes and articulate where forecasts diverged from reality.