Jr. Unit Economics owner (SAAS)

ABOUT THE ROLE

Unit Economics Owner

• At

  New Age

  , we believe in creating roles that don’t just exist in the market — we invent them when needed.

  Unit Economics Owner

  is a

  new job title

  , designed for someone willing to

  challenge the status quo

  of how growth and profitability are managed.

• We’re seeking a curious and analytical

  Unit Economics Owner

  who will

  own the economics of growth

  across our apps end-to-end. You’ll define and evolve models for

  CAC, LTV, ARPU, contribution margin, and payback

  , translate them into

  testable hypotheses

  (pricing, paywalls, packaging), and drive decisions that balance

  growth and profitability

  . You are the single point of accountability for economics clarity per app and per user segment.

SALARY:

LOCATION:

EXPERIENCE:

OUR VALUES

🔹 User First Approach

🔹 Honest & Constructive Communication

🔹 Constant Improvement

🔹 Planning & Long-Term Thinking

CORE OWNERSHIPS

• Models:

  Build, maintain, and continuously improve CAC, LTV, ARPU, contribution margin, and payback models (by app, segment, and channel).

• Hypotheses & Roadmap:

  Convert insights into

  prioritized experiment hypotheses

  (pricing tiers, trials, paywall variants, offers) with expected ROI and risk.

• Decision Support:

  Recommend

  go / no-go

  calls for experiments and launches based on unit economics and confidence levels.

• Reporting:

  Ship

  monthly Unit Economics Dashboards

  and brief weekly highlights; ensure stakeholders have a clear view of economics per app & segment.

• Forecasting:

  Own short-term and quarterly forecasts for revenue, payback, and margin; tighten accuracy over time.

• Trade-offs:

  Surface and quantify growth vs. profitability trade-offs; suggest optimized paths (e.g., CPI floors, trial lengths, discount windows).

• Cohorts & Retention:

  Analyze cohorts and retention trends; propose actions to improve payback and LTV.

• Guardrails:

  Define and monitor

  economic guardrails

  (e.g., max CAC by channel, minimum payback thresholds) and raise alerts when breached.

• Scalable Processes:

  Design and execute repeatable processes

  so that what works in one product can be scaled effectively across others.

• Culture:

  Champion a

  hypothesis-driven, data-informed

  decision culture across product and marketing.

IDEAL CANDIDATE

• Hypothesis Mindset:

  Naturally asks “what should we test next and why?”

• Analytical Rigor:

  Turns messy data into simple, decision-ready narratives.

• Business Acumen:

  Understands customer lifecycle and monetization levers.

• Clear Communicator:

  Explains trade-offs and recommendations crisply.

• Ownership:

  Comfortable being the

  single point of accountability

  for economics outcomes.

• Problem-Solver:

  Proactive in identifying issues and proposing pragmatic fixes.

• Bonus:

  Exposure to mobile subscriptions/paywalls.

TOOLS / PLATFORMS

Data & Analytics:

Attribution & Growth:

Collaboration:

QUALIFICATIONS

• Minimum

  1 year

  in Product Analytics, Growth, or Strategic Finance/FP&A
• Hands-on with

  cohort analysis, segmentation, financial modeling

• Familiar with

  CAC, LTV, ARPU, churn, payback

  for SaaS/mobile
• Strong

  spreadsheet modeling

  ; basic

  SQL

  preferred
• Comfortable partnering cross-functionally and building dashboards/reports

AVAILABILITY

• Full-time (8 hrs/day, 10:00 AM – 6:00 PM IST, Flexible)
• Weekly company sync at

  1:00 PM IST

  every Tuesday
• Team Daily Stand ups