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Were looking for a Data Engineer for the Insight Team to join our Data Group and a new team responsible for developing innovative features based on multiple layers of data. These features will power recommendation systems, insights, and more. This role involves close collaboration with the core teams within the Data Group, working on diverse data pipelines that tackle challenges related to scale and algorithmic optimization, all aimed at enhancing the data experience for our customers.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is everything, its at the heart of everything we do. The Data Group is responsible for shaping the experience of hundreds of thousands of users who rely on our data daily.
The Insight Team monitors user behavior across our products, leveraging millions of signals and time-series entities to power a personalized recommendation and ranking system. This enables users to access more unique and tailored data, optimizing their experience while maintaining a strong focus on the key KPIs that drive the success of our Data Group.
What will you be responsible for?
Develop and implement robust, scalable data pipelines and integration solutions within our Databricks-based environment.
Develop models and implement algorithms, with a strong emphasis on delivering high-quality results.
Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Design innovative data solutions that support millions of data points, ensuring high performance and reliability.

Were looking for a Data Engineer to design and implement high-scale, data-intensive platforms, research and develop algorithmic solutions, and collaborate on key company initiatives. You will play a critical role within our core data teams, which are responsible for managing and optimizing our fundamental data assets.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is at the heart of everything we do. Our data engineers are responsible for building and maintaining the core products that power our business. The data teams own and manage the pipelines that generate our assets, with a strong focus on optimizing key company KPIs.
We leverage cutting-edge technologies to build and scale our data infrastructure. In this role, you will work closely with Data Scientists and Data Analysts on a daily basis, collaborating to develop innovative data solutions that drive business impact.
What will you be responsible for?
Solve Complex Business Problems with Scalable Data Solutions
Develop and implement robust, high-scale data pipelines to power our core assets.
Leverage cutting-edge technologies to tackle complex data challenges and enhance business operations.
Collaborate with Business Stakeholders to Drive Impact
Work closely with Product, Data Science, and Analytics teams to define priorities and develop solutions that directly enhance our core products and user experience.
Build and Maintain a Scalable Data Infrastructure
Design and implement scalable, high-performance data infrastructure to support machine learning, analytics, and real-time data processing.
Continuously monitor and optimize data pipelines to ensure reliability, accuracy, and efficiency.

Required HR Business Partner
About The Position
We believe people are the true engine behind every data-driven success. As an HR Business Partner, you wont be embedded within a single team - youll be part of a dynamic HR squad that partners flexibly across the entire organization.
Youll work in close collaboration with HR colleagues, managers, and employees to co-lead strategic people initiatives that drive culture, growth, and performance. Whether the focus is leadership development, team dynamics, or organizational change - youll bring fresh perspective and create real impact wherever it's needed most.
If you're energized by variety, value relationships, and thrive in fast-moving environments, this is your opportunity to shape the future of work.
What Youll Do:
Be a strategic partner across teams- providing coaching, insight, and practical support to leaders, managers, and employees as needs emerge.
Shift focus and priorities fluidly based on organizational needs- joining task forces, leading initiatives, or facilitating transformation projects as part of an agile HR squad.
Drive organizational development efforts such as leadership enablement, team effectiveness etc
Lead and support change initiatives, such as restructuring or culture-building, using inclusive, participatory methods.
Use data and empathy to uncover challenges and build creative, human-centered solutions that elevate the employee experience.
Be a trusted advisor and thought partner, helping others navigate complexity and lead with intention.

Required Data Analytics Engineer
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. We are seeking a skilled Data Analytics Engineer to join our dynamic Analytics team. In this role, you will play a critical part in building, maintaining, and scaling our data infrastructure to support business intelligence, product analytics, and business operations. You will collaborate closely with analysts, data scientists, and cross-functional stakeholders to ensure clean, reliable, and efficient data pipelines. This is an opportunity to contribute to a data-driven culture and help drive actionable insights across the company.
What will you be responsible for?
Designing, building, and optimizing robust data pipelines to ingest, process, and store data from various sources
Maintaining and optimizing our data warehouse (e.g., Snowflake, BigQuery, Redshift) and building data models to ensure scalability, reliability, and performance
Developing and maintaining ETL/ELT workflows to enable data accessibility for reporting and analysis
Collaborating with analytics teams (BI, product, and business) and cross-functional teams (GTM, product) to understand data requirements and providing the necessary infrastructure and data models to support their objectives
Monitoring and troubleshooting data quality, pipeline failures, and performance issues, and implementing fixes and improvements as needed
Contributing to automating manual processes and improving data reliability and efficiency
Staying up-to-date with emerging trends, tools, and technologies in data engineering to drive innovation and continuous improvement.

We are seeking a passionate and experienced Algorithms Team Leader to lead our Computer Vision and Deep Learning team. This is a hands-on leadership role combining technical expertise, strategic thinking, and team mentorship to drive the development of cutting-edge AI-powered solutions.

As the Algorithms Team Leader, you will be responsible for leading a team of talented algorithms developers in researching, designing, developing, and deploying advanced algorithms from research to scalable production systems. Youll be instrumental in shaping the future of our AI capabilities and driving innovation within the team and across the organization.



Responsibilities

Lead and grow a high-performing team of algorithm engineers in the fields of computer vision, deep learning, photogrammetry, and robotics.
Work hand-in-hand with both the CTO office and the product team to shape and execute our AI and algorithms roadmap, ensuring that our innovations translate into business impact. Represent the team in technical and strategic discussions, both internally and externally.
Serve as a key liaison between the algorithms team and other departments, ensuring alignment on plans, project goals, and deliverables with both technical and non-technical stakeholders.
Collaborate closely with cross-functional teams, including software engineers, product managers, and QA, to ensure alignment on project goals and successful integration of AI features.
Oversee the full algorithm development lifecyclefrom concept and research to implementation, integration, and deployment.
Contribute to the development of intellectual property, including patents and technical publications. Identify new trends and drive adoption of state-of-the-art techniques to maintain our leadership in the domain.

Our Billing Platform is the backbone of every product we launch and every key deal we close. You will play a critical role in shaping the infrastructure that drives our billing processes, directly impacting revenue and growth.

As we continue to scale and introduce new products, were looking for passionate engineers who are eager to take ownership of complex systems and make a significant impact.

If you're excited about designing and building robust, scalable systems, wed love for you to join us in shaping the future of Billing infrastructure.
What you'll be doing:
Design, build, and maintain scalable and resilient systems that handle high-volume data, while collaborating with teammates and individual contributors at Forter
Take ownership of projects, from concept to production, ensuring the highest quality
Work on data-driven initiatives that improve system performance, efficiency, and billing accuracy
Work with Product Managers to define features and scope, guiding technical decisions and trade-offs, to align with company goals.
Collaborate in an environment involving various stakeholders within the company
Help foster best practices and mentor team members to maintain a high standard of engineering excellence

a Senior Data Engineer to join its Research Engineering team. The Research Engineering teams mission is to enable research needs. We succeed when our research analysts, data scientists, and engineers have access to the data, tools, knowledge, and support to do their jobs painlessly and efficiently.

We build the foundational infrastructure and key applications that allow internal users to derive actionable insights from vast data. Both enablingand runningBig Data processing at the scale of hundreds of TB is a core part of what our team does, but were not just a Big Data team. We work across the tech stack in support of our mission to enable data-driven research and investigation, from back-end to front-end to data stores.

What you'll be doing:

Design, build, and maintain foundational infrastructure and key applications that allow people to effectively leverage proprietary and public data
Use modern technologies daily, such as: Snowflake, Databricks, Apache Spark, Elasticsearch, AWS, Kafka, and more
Expand and optimize data warehouse and lakehouseweighing tradeoffs between performance, cost, and user experienceacross continually larger and more complex datasets
Model data and define storage strategy, to ensure that data is intuitive for researchers to find, and easy and fast for them to access
Enhance analysts most-used web application, which gives them in-depth insight into every decision we make
Collaborate directly with colleagues from various disciplines: Analysts, Data Scientists, and other Engineers (all of whom write production code!)
Self-manage project planning, milestones, designs, and estimations
Hold yourself and others to a high standard when working with production systems. We take pride in our tests, monitoring & alerting abilities just as we do with our systems.
Debug complex problems across the whole stack