Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all.

Why Join Us:

We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.

We believe in an environment where people are encouraged to think, create and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together.

At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

The role:

We are looking for a Senior Strategic FP&A who can think big and move fast, partnering with the business to analyze key financial and operational drivers and support growth-focused decision-making. This role is highly cross-functional, owning core financial models, planning processes, and working closely with leaders across the company to turn strategy into execution.

What you will be doing

• Manage financial forecasts and analyses across key business drivers, including revenue, growth metrics, capacity, and company expenses.
• Build and manage the budget transparently, working closely with global teams to enable execution and goal achievement.
• Own analyses and planning processes end-to-end, from problem definition through execution and follow-up.
• Support pricing, business plans, and investment decisions through financial modeling and scenario analysis.
• Operate effectively in a fast-changing environment, adapting models, assumptions, and priorities as the business evolves.
• Work on ad hoc projects and strategic initiatives for senior management, assessing business challenges and proposing data-driven solutions.

Your skills and experience

• 4+ years of financial-analytical experience from a high growth SaaS company - a must.
• Mastery of Excel/Google Sheet with proven experience in building financial models and managing complex data.
• Bachelor’s degree in Economics/a quantitative discipline.
• Detail-oriented with a strong sense of ownership and service mindset.
• Efficient, creative problem-solver with the ability to operate independently.
• SQL knowledge - Advantage.
• Experience in Cloud Economics & FinOps - an advantage.

We got you covered:

• We run daily door-to-door shuttles, offering Car-to-go subscriptions from several locations in central Israel, plus free parking and train-station pickups.
• We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.
• We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.

What Do We Do?

Triple Whale is the complete intelligence platform for ecommerce, helping brands stop guessing and start knowing what’s actually driving growth, what’s wasting money, and what to do next — with total confidence. By pulling all of a company’s data into one place, delivering measurement tools teams can actually trust, and applying the smartest AI in the industry, Triple Whale turns fragmented data into clear insights and actionable recommendations. That intelligence can then be put to work through AI agents and automations that generate creative assets, take action across marketing channels, and make every tool in their stack smarter and more effective.

More than 60,000 ecommerce brands including Pressed Juicery, OUAI, and True Classic trust Triple Whale to grow faster and drive revenue with fewer resources by uncovering opportunities and acting on them at a scale that would be impossible manually.

Why Triple Whale Needs You:

We’ve reached a strong product–market fit and are scaling rapidly — which means marketing measurement, experimentation, and optimization are becoming more complex and more critical than ever. As privacy changes, fragmented signals, and multi‑channel marketing continue to evolve, brands need sophisticated, production‑grade marketing science they can actually trust.

We’re looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What You’ll Do:

• Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
• Develop and deploy statistical and machine learning models to production
• Create scalable data pipelines and APIs that serve real-time analytics
• Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
• Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

What You’ll Bring:

• 4–7 years of experience in applied data science
• Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
• Strong Python skills (pandas, scikit-learn, statistical libraries)
• Experience deploying models to production (not just notebooks)
• Solid statistics and machine learning fundamentals
• SQL and database experience
• Experience in building APIs or backend services
• Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science)
• Strong English communication skills with technical and non-technical audiences
• Self-starter comfortable with ambiguity and autonomy

Bonus Points If You Bring:

• Marketing analytics background (attribution, experimentation, measurement)
• Bayesian statistics or causal inference experience
• Cloud platform knowledge (GCP, AWS, or Azure)
• Time series analysis and forecasting

Why You’ll Love This Role:

This role offers true end‑to‑end ownership from statistical design to production deployment and real customer impact. It’s not pure modeling and not pure engineering, but a blend of both, focused on solving real marketing problems at scale. You’ll work on high‑impact systems that directly shape how businesses understand performance and invest their budgets, all within a fast‑moving, product‑driven environment where your work ships quickly and matters immediately.

Our Values

• We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
• We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage. 
• We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together. 
• We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
• We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.

Join Us in Making Waves

If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.

Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Referred?  Got here thanks to a friend? Splash some gratitude their way!  They'll need to submit your application through our referral system to make it official.

Why Triple Whale Needs You:

We're looking for a Data Engineer with 4+ year experience to join our Data Engineering team and help us build and scale our production-grade data platform. You'll work on high-performance systems built on self-hosted ClickHouse, optimize complex data pipelines, and collaborate closely with Product, Analytics, and Infrastructure teams to deliver reliable, fast, and scalable data solutions.

This is a hands-on technical role where you'll have a significant impact on how we ingest, model, store, and serve data that powers our analytics and AI-driven products.
You’ll play a key role in shaping the direction of our data platform and have meaningful ownership over critical components of our architecture.

What You'll Do:

Data Modeling & Architecture

• Design and evolve data models that reflect business logic and support analytical use cases
• Collaborate with the BI and Analytics teams to understand data requirements and translate them into efficient schemas

Performance Optimization

• Optimize ClickHouse schemas, partitioning strategies, indexing, and compression
• Profile and tune slow queries to improve performance and reduce costs
• Implement systems that ensure data quality, consistency, and operational efficiency (e.g., deduplication, validation, anomaly detection)
• Monitor pipeline health, data freshness, and query performance with appropriate alerting mechanisms

SQL Compiler Development

Develop and maintain the SQL Compiler layer that translates high-level queries into optimized ClickHouse execution plansImplement query optimization and rewriting strategies to improve performanceDebug and resolve compiler issues to ensure accurate and efficient query translation

Data Pipeline Development & Collaboration

• Review and advise the Integration team on pipeline architecture, performance, and best practices.
• Provide guidance on data modeling, schema design, and optimization for new data sources.
• Troubleshoot and maintain existing pipelines when issues arise or optimization is needed
• Ensure data freshness, reliability, and quality across all ingestion pipelines.

Collaboration & Support

• Work closely with the Integration team to ensure smooth data ingestion from new sources.
• Partner with Infrastructure to support high availability and disaster recovery
• Support other teams across the company in accessing and using data effectively.

What You'll Bring:

Required

• Excellent communication and collaboration skills
• English at a high level, written and spoken required
• Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
• Strong attention to detail, ownership mentality, and ability to work independently
• Quick learner who can dive into new codebases, technologies, and systems independently
• Hands-on mentality - not afraid to roll up your sleeves, dig into unfamiliar code, and work across the stack (including backend when needed)
• 4+ years of experience as a Data Engineer
• Strong problem-solving skills for complex data challenges at scale - ability to debug performance issues, data inconsistencies, and system bottlenecks in high-volume environments
• Experience with data modeling and schema design for analytical workloads
• Strong proficiency in SQL and experience with complex analytical queries
• Hands-on experience building and maintaining data pipelines (ETL/ELT)
• Ability to troubleshoot and optimize systems handling large data volumes (millions+ rows, complex queries, high throughput)
• Knowledge of query optimization techniques and execution planning
• Familiarity with columnar databases (ClickHouse, BigQuery, Redshift, Snowflake, or similar). Columnar DB experience is a big plus.

Nice to Have

• Experience with ClickHouse specifically
• Experience with real-time or streaming data pipelines
• Familiarity with SQL compilers or query engines
• Background in data quality frameworks and observability tools
• Experience with infrastructure as code (Terraform, Ansible, Pulumi ,etc.)
• Contributions to open-source data projects
• Experience with data orchestration tools (Airflow, Dagster, Prefect, etc.)
• Experience with any scripting language for data processing
• Understanding of distributed systems and data architecture concepts at scale

Plus

• Experience working in e-commerce, analytics, or BI platforms

• The opportunity to shape and own core systems that power the entire organization.
• A high-impact role with autonomy and influence across multiple teams.
• A collaborative, fast-paced, and innovative environment.
• Competitive compensation and hybrid flexibility based in Jerusalem, with at least 2 days per week in-office required. Our office is conveniently located in Jerusalem's Central Bus Station (across the street from the train station)

Join Us In Making Waves:

If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.

Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

As a Product Analyst on the Facetune team — our flagship app with millions of active users worldwide — you’ll play a critical role in shaping the user experience for one of the most iconic creative tools available. You’ll be responsible for leveraging data to drive key product decisions, ensuring that insights are the foundation of product strategy and not just a guiding tool. Your analysis will directly influence product direction, user experience optimizations, and the success of experiments across our products.

This isn’t just another back-office BI role. At Lightricks, data drives strategy. You’ll work directly with product managers, designers, and engineers, using your analytical skills to shape key decisions, optimize user experiences, and lead experiments that have a direct impact on our product strategy and growth.

What you will be doing

• Drive key product decisions by turning data into powerful insights that shape strategy
• Partner with product teams to define goals, set metrics, and monitor performance
• Shape product features and experiments with a data-driven perspective
• Build dynamic dashboards that keep teams aligned on critical KPIs
• Adapt quickly in a fast-paced environment to meet evolving needs
• Act as a strategic partner to product leadership, surfacing key growth opportunities, identifying blind spots, and proactively recommending next steps
• Collaborate closely with PMs, growth marketers, designers, and AI experts to bring data-driven thinking into every stage of the product lifecycle from ideation to post-launch evaluation

Your skills and experience

• 3–5+ years of experience as a Product Analyst / Product Data Analyst in a tech company
• Proven track record of influencing product decisions and driving measurable impact (e.g., retention, conversion, engagement)
• Strong product thinking- ability to understand user journeys, break down problems, and connect data to user experience
• Hands-on experience designing and analyzing A/B tests and experiments
• Excellent SQL skills and ability to independently extract and manipulate data
• Strong analytical and critical thinking skills, with attention to detail
• Experience working with cross-functional product teams (PM, design, engineering)
• A passion for AI and how it can be leveraged to drive smarter product decisions.

Why join us:

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all.

• We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.
• We believe in an environment where people are encouraged to think, create and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together.
• At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

We got you covered!

We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.

We offer Car-to-go subscriptions and run daily door-to-door shuttles from several locations in central Israel, plus free parking and train-station pickups.

We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.