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For Companies At a Glance
- Tasks: Own product metrics and drive strategic decisions through user behaviour analysis.
- Company: Join Lightricks, an AI-first company transforming visual content creation.
- Benefits: Enjoy stock options, private medical insurance, and a £3,000 transport allowance.
- Why this job: Be part of a creative team shaping the future of AI video creation.
- Qualifications: 5+ years in product analytics with strong SQL and problem-solving skills required.
- Other info: Flexible working, cool office in London, and frequent social activities await you.
The predicted salary is between 43200 - 72000 £ per year.
Who We Are
Lightricks, an AI-first company, is revolutionising how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces. Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetise their work and offers brands opportunities to scale their content through tailored creator partnerships.
The team & role
Lightricks products bring together intuitive design, innovative technology, and creativity. We have more than 30M global users who use our tools and services to create, enhance and promote their content and creations. Our Product team focuses on understanding and meeting the needs of our existing and new users, growing our products to continue being the market leader, and reaching company goals for growth and expansion. The Product Data team at Lightricks is the engine behind our product experience. Through understanding user behaviour, we can analyse their content creation journey and leverage this data to continuously enhance our tools and services. The team transforms abstract questions into quantifiable metrics and back into a story to make data driven decisions. Using statistical tools and deep analysis methods we are able to find some treasures and needle-moving insights within our data.
We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, and knows how to take a business challenge and transform it into data points and vice versa.
What You Will Be Doing
- Build and own our product metrics framework - from defining core PLG metrics to establishing success criteria across the user journey, laying the foundation for data-driven growth.
- Drive strategic product decisions by translating user behaviour data into actionable insights, helping shape our product roadmap and growth initiatives in this exciting new space of AI video creation.
- Collaborate closely with product managers, engineers, and business stakeholders to uncover user needs and translate them into product opportunities.
- Establish the foundation for our experimentation program - from measurement frameworks to A/B testing capabilities.
- Design and implement quantitative and qualitative research to validate product opportunities and synthesise findings into actionable recommendations.
- Partner with data engineers and developers to build reliable data foundations - from defining tracking requirements and implementing instrumentation to maintaining data quality and establishing scalable analytics processes.
- Create compelling narratives through clear and impactful presentations that drive alignment across teams and influence product strategy through data-backed storytelling.
Your Skills And Experience
- 5+ years of proven experience in product analytics, with a strong track record of driving decisions in product-led growth environments.
- Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Computer Science, or similar).
- Experience working on a B2B product is a plus.
- Proven experience defining and implementing PLG metrics frameworks, from user acquisition through expansion.
- Excellent problem-solving skills, with the ability to analyse complex data and derive actionable insights in the ever-evolving AI landscape.
- Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams.
- Advanced SQL skills and experience with statistical analysis, particularly in dynamic environments with limited data.
- Experience integrating qualitative insights with quantitative data to drive product strategy.
- Experience with generative AI technologies - A plus.
Benefits
- Stock Options.
- Private Medical Insurance (Optical & Dental cover) including your loved ones.
- Life Assurance.
- £3,000p/a Transport Allowance.
- £750p/a allowance for Wellbeing & Professional Development.
- Free on-site lunches, coffee, breakfast & snacks.
- Pension Contributions (7%).
- Holiday (25 days).
- Seasonal & Anniversary Vouchers.
- Hybrid & Flexible working.
- Cool office space in central London.
- Enhanced Parental Leave.
- Cycle-to-work Scheme.
- Season Ticket Loan.
- Volunteering Opportunities.
- Frequent social activities - away-days, happy hours, team building, yoga, creative workshops.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Research, Analyst, and Information Technology
Industries: Software Development
Product Analyst- LTX Studio employer: Lightricks
Contact Detail:
Lightricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Analyst- LTX Studio
✨Tip Number 1
Familiarise yourself with Lightricks' products and their unique features. Understanding how tools like Facetune and Videoleap work will help you demonstrate your knowledge during discussions and show that you're genuinely interested in the role.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss specific examples of how you've used data analysis to drive product decisions. Being able to articulate your experience with metrics frameworks will set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your problem-solving abilities by thinking of real-world scenarios where you've transformed complex data into actionable insights. This will highlight your analytical skills and your ability to contribute to Lightricks' data-driven culture.
✨Tip Number 4
Network with current or former employees of Lightricks, if possible. Gaining insights about the company culture and expectations can give you an edge and help you tailor your approach when discussing your fit for the team.
We think you need these skills to ace Product Analyst- LTX Studio
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Product Analyst position at Lightricks. Understand the key responsibilities and required skills, especially around product metrics frameworks and user behaviour analysis.
Tailor Your CV: Customise your CV to highlight relevant experience in product analytics, particularly any work you've done with PLG metrics or in B2B environments. Use specific examples that demonstrate your problem-solving skills and ability to derive actionable insights from data.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to Lightricks' mission and the specific role. Emphasise your experience with AI technologies and your ability to communicate complex data insights to non-technical stakeholders.
Showcase Your Data Skills: In your application, be sure to mention your advanced SQL skills and any experience you have with statistical analysis. If you have worked with generative AI technologies, highlight this as it is considered a plus for the role.
How to prepare for a job interview at Lightricks
✨Understand the Product Metrics Framework
Familiarise yourself with product-led growth (PLG) metrics and be prepared to discuss how you would define and implement these metrics. Show that you can translate user behaviour into actionable insights that drive product decisions.
✨Showcase Your Analytical Skills
Be ready to demonstrate your experience with statistical analysis and SQL. Prepare examples of how you've used data to solve complex problems and make informed decisions in previous roles, especially in dynamic environments.
✨Communicate Effectively
Practice explaining technical concepts in simple terms. You’ll need to convey your findings to non-technical stakeholders, so being able to tell a compelling story with data is crucial. Think about how you can present your past work in a clear and impactful way.
✨Collaborate and Build Relationships
Highlight your experience working with cross-functional teams, including product managers and engineers. Be prepared to discuss how you’ve uncovered user needs and translated them into product opportunities through collaboration.
