---
title: 'Product Data Science Lead at UpGuard Inc.'
canonical: 'https://feeny.ai/job/product-data-science-lead-upguard-inc-melbourne-q7s9ryxwqkqe'
type: 'job'
last_seen: '2026-09-08'
---

# Product Data Science Lead at UpGuard Inc.

- **Company:** UpGuard Inc.
- **Location:** Melbourne, Australia
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/upguard/fe1f2555-ce2b-4742-a582-6e17b1ae2699

## Job description

WHO ARE WE?

At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.

We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.

We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale.

Our product is central to that next chapter. We're investing heavily in new products and features, with an exciting roadmap to keep building out UpGuard's best-in-class platform. In an era where third-party risk is more complex than ever, we maintain a highly collaborative, consultative culture that puts the customer's security posture above all else.

Where does this role fit in?

As UpGuard continues its rapid growth trajectory, we are seeking an experienced data scientist to support our Product team. Reporting to the Director of Analytics, this critical role is responsible for driving significant business value by quantifying product performance, illuminating what good engagement and adoption look like across the platform, and translating ambiguous product questions into durable data models and insights. This role will partner closely with Product Managers, Operations, Design, and Engineering to help the Product team define KPIs and milestones, understand what's working, and see how usage translates into retention and growth — while also acting as the interface between Product and Sales/CS to drive adoption of what's being built.

This is an autonomous, lead role: you'll own product analytics end-to-end, supporting UpGuard's product portfolio across both established and emerging product lines.

This is a ground-up build: the models and metric definitions this person creates will form the governed semantic layer that both humans and AI/agentic analytics tools query, so clarity and rigor in the modelling layer compounds directly into AI-enabled self-service.

WHAT WILL YOU DO?

- Actionable Insight: Generate compelling and actionable insights from complex, multi-source product and usage data sets that directly inform roadmap prioritisation, feature investment, and engagement strategy.
- Stakeholder Engagement: Establish strong collaborative relationships with Product Managers, Operations, Design, Engineering and Success, delivering high-impact analytics initiatives that translate loose, evolving requirements into clear deliverables.
- KPI & Milestone Definition: Design, define, and maintain the product KPIs and engagement milestones for UpGuard – from activation and onboarding through to what "good" ongoing engagement looks like – and clearly communicate the trade-offs and assumptions behind each definition.
- Product & Feature Analytics: Develop a deep, first-principles understanding of the product funnel across onboarding, activation, feature adoption, and retention, and build the metrics, models, and dashboards that let PMs and feature owners self-serve their performance.
- Data Products: Partner with the data engineering team to design, construct, and maintain foundational product and usage data assets – translating loose product requirements into well-specified dbt models and a governed semantic/metrics layer that both humans and AI agents can reliably query and traverse.
- Business Intelligence: Partner strategically with Product stakeholders to provide robust self-service and conversational and agentic analytics capabilities, using design thinking principles to build user-friendly dashboards for engagement health, feature adoption, and activation performance.
- Deep Dive Analysis: Personally conduct thorough, hands-on, technical analysis to diagnose and solve the most significant product challenges – from onboarding drop-off and feature underperformance to engagement decay and churn risk.
- Commercial & Adoption Analysis: Act as the connective tissue between Product and Sales/CS, translating product usage and engagement signals into adoption plays, health scores, and expansion/renewal risk signals in ways that Sales, CS, and the executive team trust.

WHAT WILL YOU BRING?

- Proven Experience: 4+ years delivering analytics solutions for Product teams within a high-growth SaaS company.
- Product Domain Knowledge: Strong working knowledge of product analytics – activation, engagement, feature adoption, and retention – including how KPIs and milestones are defined, instrumented, and measured, and fluency in translating engagement data into a north star metrics framework.
- Statistical Rigor: Comfort with core statistical reasoning — significance, confidence, sample size, variance, and the risk of misleading metrics from small or noisy cohorts — applied to keep KPI definitions and dashboards honest.
- Sales & CS Fluency: Understanding of how product usage and engagement signals are consumed by Sales and Customer Success – health scores, expansion signals, renewal risk, and adoption plays – and how to package product data for those audiences.
- Requirements Translation: A demonstrated ability to take loose, ambiguous, or evolving product requirements from PMs, Operations, Design, and Engineering and translate them into well-structured dbt models, clear metric definitions, and insights stakeholders can act on.
- Data Infrastructure Expertise: Strong understanding of modern data infrastructure (e.g., cloud data warehouses like BigQuery; ETL/ELT tools; dbt model development; modern data visualisation tools like ThoughtSpot, Omni, Looker).
- Exceptional Business Acumen: Ability to quickly understand complex product and business problems, identify key performance indicators, and translate data into strategic insights that drive tangible business value.
- Communication & Influence: Excellent communication (verbal and written) skills, with the ability to articulate complex analytical concepts – including KPI definitions and engagement trade-offs – to both technical and non-technical audiences and influence decision-making.
- Strategic & Analytical Thinking: Highly analytical and strategic mindset, with a proven track record of developing and executing data strategies that align with product and business objectives.
- Data Development: Directly engage in the creation of fundamental data and Business Intelligence (BI) infrastructure and assets, including hands-on dbt model authorship.
- AI Fluency: Fluency leveraging AI/LLM tools to accelerate analysis, code development, and documentation.

WHAT WILL GIVE YOU AN EDGE?

- Data Science / AI Engineering: Proven experience as a data scientist or AI engineer, ideally within a SaaS company environment, with exposure ing, engagement scoring, causal inference techniques, or building/evaluating the tool-calling and retrieval layers that let LLM agents query structured business data.
- Product Tech Stack: Hands-on experience with product analytics and CS tools such as Segment, Mixpanel, Amplitude, HubSpot, and Salesforce, and an understanding of how their data shapes downstream analytics.
- SaaS Metrics Fluency: Strong grasp of core B2B SaaS metrics – NRR/GRR, activation and time-to-value, product-qualified leads, expansion and churn drivers – and how to connect product engagement data to these outcomes.

WHAT'S IN IT FOR YOU?

- Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
- WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
- $1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
- Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
- 18 weeks paid Parental Leave: Irrespective of parenting role
- Personal Leave Allowance: This includes sick & carer’s leave
- Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
- Top-spec hardware: All team members will be provided with top-spec laptops for their role
- Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work
- Stock Options: Share in UpGuard's growth and long-term success.

UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work! Apply now to find out why!

As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

For applications to positions in the United States, please note, at this time, we can only support hiring in the following US states: CA, MD, MA, IL, OR, WA, CO, TX, FL, PA, LA, MO, or DC.

Before starting work with us, you will need to undertake a national police history check and reference checks. Also, please note that at this time, we cannot support candidates requiring visa sponsorship or relocation.

## About UpGuard Inc.

## Company Overview
- **One-liner**: UpGuard is an AI-powered Cyber Risk Posture Management (CRPM) platform that helps organizations monitor, assess, and reduce cybersecurity risks across their vendors, attack surface, and workforce.
- **Entity Type**: Private (Venture-backed, total funding $122.4M)
- **Headquarters**: Mountain View, California, United States (also offices in Sydney and Hobart, Australia)
- **Founded**: 2012
- **Founders**: Daniel Bradbury (Co-Founder & CEO), Mike Baukes (Co-Founder)

## Core Business
- **Primary industry/industries**: Cybersecurity, Risk Management, Third-Party Risk Management
- **Target customers**: B2B – mid-market to enterprise, with strong presence in financial services, technology, and healthcare
- **Mission or purpose statement**: “Protecting the world’s data” and helping companies assess, measure, and reduce cybersecurity risks to make the internet safer

## Products & Services
- **Vendor Risk Management**: Continuous vendor monitoring, 360-degree assessments, and AI-powered workflows for third-party risk.
- **Attack Surface Management**: Real-time visibility into an organization’s digital footprint with threat detection and posture improvement.
- **User Risk Management**: Tools to secure the workforce, track human risk, and enable safe AI adoption.
- **Trust Management (Trust Exchange)**: AI‑driven questionnaire automation and a public Trust Page to accelerate deal closure.
- **Risk Automations**: API‑driven workflows connecting the risk stack for automated discovery, notification, and remediation.
- **Breach Risk**: Breach detection and risk scoring for proactive defense.

All products are part of the unified **Cyber Risk Posture Management (CRPM)** platform.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding of $122.4M across 8 rounds (per LinkedIn). Annual revenue is not publicly reported; the company states it is profitable.
- **Notable Investors/Partners**: Not publicly detailed in available sources; venture-backed.
- **Growth Signals**:
  - Headcount: 293 employees (+28.3% YoY, +82 people)
  - Active job postings: 59 (yearly trend +210.5%)
  - Trusted by 45,000+ companies worldwide, including NYSE, PagerDuty, IAG, and Hopin
  - Recognized as a **Great Place to Work** (97% of employees say it’s a great place to work) and named #69 on Fortune Best Workplaces in the Bay Area™ 2024 (Small and Medium)
  - Cyber research regularly cited by The New York Times, The Wall Street Journal, Forbes, and The Washington Post

## Competitive Advantages
- **Unified CRPM platform** that spans vendor risk, attack surface, and human risk – a single view of cyber posture.
- **Continuous, AI-powered detection and prioritization** – moves beyond point-in-time assessments to real-time risk visibility.
- **Trusted scale** – 45,000+ customers, including well-known enterprises, and a reputation backed by independent media citations.
- **Profitable and venture-backed** – provides financial stability while enabling continued investment in product and talent.

## Strategic Focus
- Building an **AI Risk Operations Center** that connects all risk domains (vendors, attack surface, workforce) into one posture loop.
- Expanding **Human Risk Management** capabilities to help customers adopt AI safely.
- Scaling the global team (remote and office locations) to meet growing demand and take on high-impact projects.
- Accelerating **trust automation** (questionnaires, Trust Pages) to shorten sales cycles and improve customer transparency.

## Why Work Here
- **Great Place to Work Certified** – 97% employee satisfaction rating, with management praised for honesty and ethical practices.
- **Flexible work arrangements** – distributed global team with remote/hybrid options; offices in Mountain View, Sydney, and Hobart.
- **Meaningful benefits** – free lunches, gym reimbursement, health/dental/vision, 401(k) (US employees), and no “fluff” like ping-pong tables.
- **High-impact work** – “bandwidth-constrained” environment means new hires get significant responsibility and autonomy on projects that protect real people’s data.
- **Values-driven culture**: transparency, autonomy, curiosity, and the company mantra “Don’t #!&$ the customer.”
- **Growth trajectory** – profitable, venture-backed, and scaling fast with thousands of customers and a growing engineering and GTM team.

## Sources
1. [UpGuard Homepage](https://www.upguard.com/)
2. [UpGuard About Page](https://www.upguard.com/about)
3. [UpGuard Careers Page](https://www.upguard.com/careers)
4. [Great Place to Work – UpGuard Profile](https://www.greatplacetowork.com/en/certified-company/144000844)
5. [LinkedIn – UpGuard Company Page](https://www.linkedin.com/company/upguard)

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