Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Digital Growth & Personalization Manager

Role Overview

As a Digital Growth & Personalization Manager, you will lead the evolution of our web presence from static experiences to dynamic, persona-driven journeys. This role will be pivotal in architecting a personalisation ecosystem on the team that is the primary driver of our transition from 'one-size-fits-all' testing to sophisticated, AI-driven experimentation.

Responsibilities

• Personalisation Roadmap: Help design and manage a quarterly roadmap focused on high-impact personalisation workstreams, moving beyond A/B tests to complex Experience Targeting (XT) and Automated Personalisation.

• Scalable Automation: Implement and oversee automated experimentation workflows using Adobe Target's AI/ML capabilities to dynamically serve the highest-performing experiences to specific users at scale.

• Audience Architecture: Partner cross-functionally within and beyond our Digital team to define and build high-value audiences within Adobe Target based on firmographics, intent data, and user behaviour.

• Technical Orchestration: Translate complex business requirements into technical specs for our engineering partners.

• Advanced Analytics: Analyse experiments not just for 'winners', but for segment-specific lift. Identify where experiences are over-performing or under-performing for specific industries or company sizes.

• QA & Governance: Conduct rigorous T&O QA to ensure personalised experiences render flawlessly across various segments and devices.

• Strategic Communication: Lead performance reviews that go beyond data reporting; provide 'the story' of how personalisation is shortening the sales cycle and improving the user journey.

Necessary Experience

• 5+ years of growth/experimentation experience with a heavy emphasis on segmentation-based testing.

• 1+ year of personalisation experience

• Adobe Target Mastery: Deep hands-on experience with Adobe Target, specifically leveraging Experience Targeting (XT) and Auto-Target features to deliver real-time personalised content.

• Data Fluency: Mastery of web analytics and the ability to pull insights that inform the next phase of a personalisation loop.

• Technical Liaison: Proven ability to communicate data layer requirements and tag implementation needs to developers to unlock deeper personalisation triggers.

• Stakeholder Management: Experience presenting complex 'personalisation-first' strategies to executive leadership, focusing on long-term scalability rather than just quick wins.

Preferred Experience

• B2B Personalisation: Experience in a B2B environment using tools like Marketo, Clay, CommonRoom, Demandbase and 6sense in conjunction with Adobe Target.

• AI/ML Optimisation: Familiarity with using Adobe Target's AI capabilities to automate the discovery of the best-performing experience for each individual visitor.

• Visual Stack: Experience with Tableau to visualise user friction points that personalisation can solve.

#LI-Hybrid

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Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:\$132,000-\$198,000 USD

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:\$124,000-\$186,000 CAD

The Okta Experience

• Supporting Your Well-being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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Key responsibilities for this role include:

• Driving research on post-training techniques (e.g., RL, SFT, and preference optimisation) specifically tailored for personalisation scenarios.
• Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviours / feedback.
• Designing and training agents capable of orchestrating tools and APIs to deliver hyper-personalised experiences.

We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don't work out.

To succeed in this role, you will need:

• A PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).
• A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions).
• Strong software engineering skills to complement your research background.

In addition, hands-on experience with modern post-training methods (SFT, RLHF, etc.) and prior work applying LLMs to personalisation, memory, or agentic workflows would be an advantage.

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer include enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options.

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