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the role will establish scalable processes, standard pod structures, and PI planning in line with R&D leaderships vision to improve throughput and efficiency. The position will act as a thought leader on agile best practices, supporting R&D leaders through training, documentation, and artefacts, while also ensuring strong visibility into R&D performance through reporting and key metrics such as cycle time, velocity, and throughput. In addition, the role will identify inefficiencies and operational risks, lead mitigation and improvement initiatives, support governance forums, and communicate progress to senior stakeholders, including R&D leadership and senior leadership stakeholders.

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Key Responsibilities:​
Drive the implementation and scaling of SAFe methodologies across R&D, embedding Agile ways of working to improve delivery efficiency and consistency​
Provide thought leadership on Agile best practices, influencing R&D leaders and supporting adoption through training and documentation​
Track and report on key development KPIs (e.g., cycle time, lead time, on-time delivery), identifying inefficiencies and driving continuous improvement​
Design and support governance forums, ensuring clear tracking of actions, progress reporting, and effective communication with senior stakeholders​
Risks and design governance forums, ensuring effective mitigation, progress tracking, and clear communication with senior stakeholders​

We are looking for a technically-grounded, visionary Product Owner to lead GenAI-powered initiatives within our B2B platform. You will stand at the intersection of cutting-edge LLM technology and enterprise-scale business impact, transforming how global financial institutions handle everything from underwriting automation to complex claims intelligence.

Key Responsibilities:
AI Roadmap & Strategy: Define and own the GenAI roadmap, identifying high-value use cases like fraud detection copilots, document intelligence, and agentic underwriting.
Backlog Excellence: Own and optimize the product backlog, translating complex AI concepts into clear user stories and acceptance criteria for engineering and data science teams.
Technical Specs & Orchestration: Read and write technical specs, API contracts, and data models. Youll work closely with Development & architecture teams
Experimental Mindset: Lead lean experiments and A/B tests to validate LLM performance, managing the balance between probabilistic AI outputs and deterministic business rules.
Stakeholder Leadership: Communicate the vision and progress transparently to global stakeholders and enterprise clients, acting as the bridge between "the possible" and "the practical".

Support the implementation of the AI strategy across R&D by identifying, selecting, and institutionalizing AI tools to drive efficiency across the SDLC​
Partner with R&D and Product leadership to drive adoption of AI tooling, developing training materials, use cases, and leading enablement sessions across divisions/product teams​
Define and track KPIs to measure AI impact (e.g., financial benefits, development efficiency, quality improvements), providing visibility on realized value​
Establish and maintain governance frameworks, artefacts, and AI usage policies in collaboration with R&D Ops and SecOps to ensure structured and compliant adoption​
Identify operational risks related to AI adoption, driving mitigation plans and supporting governance forums to track progress and communicate with senior stakeholders​

We are looking for a bright, resourceful, and enthusiastic Bachelors degree graduate to join our Customer Success team as a b Performance Analyst. This position is especially suitable for graduates in Communications, Business Management, Economics, Marketing, or similar fields. This is an amazing opportunity to dive deep into the world of AI, online marketing, PPC, creative analysis, and reporting. This position requires a creative and outside-of-the-box mindset, with the ability to watch creatives and understand the thought and strategy behind them, in order to translate them into value.



Key Responsibilities

Ownership of all creative and analysis-related projects, including: Creative mapping, integration QA, reporting & analysis, and client presentations.
Existing client adjustments based on additional requests (internal and external) for more client value.
Feature standardization and taxonomy for all current and future Alison clients.
Studying new clients and meeting them for introductory sessions to understand their needs.
Collect and analyze data from marketing campaigns to measure their effectiveness and provide actionable insights for future strategies.
Additional ad-hoc assignments related to features, client requests, additional CSM projects, and technical projects.

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing. You'll work hands-on across the stack of our AI features and have real impact on the products evolution.



Key responsibilities

Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.

Were looking for a seasoned R&D Team Leader to join our top-notch technology R&D team, reporting directly to the VP R&D. In this role, you will drive technological innovation, oversee the development of cutting-edge features, and guide the team in delivering scalable, high-quality products. You will combine hands-on technical leadership with strategic oversight, ensuring that our platform continues to evolve and deliver impactful solutions for our clients. As part of an AI-first company, our web team is deeply involved in creating and integrating AI-driven features to enhance our digital offerings.



Key Responsibilities:

Lead the R&D team in developing new features and enhancing our platform.
Oversee the end-to-end development lifecycle, from ideation to deployment.
Ensure high-quality code, scalable architecture, and smooth product delivery by implementing best practices in software development.
Mentor and support team members in their professional growth.
Troubleshoot and resolve complex technical challenges in collaboration with the team.
Collaborate with cross-functional teams including Product, Data, and AI to align development efforts with company goals.
Drive innovation and stay updated on new technologies to keep us at the forefront of the industry.

We're looking for a security practitioner who wants to go deeper than monitoring dashboards and triaging alerts. Someone who understands what good detection looks like, knows their way around a SIEM, and isn't afraid to roll up their sleeves with APIs and automation. You'll be the bridge between the security products our customers already trust and the our company platform that validates whether those products are actually doing their job.

Opportunity Highlights
Our integrations team is responsible for connecting our company with the security products that make up enterprise defense stacks worldwide - EDR and XDR platforms, SIEMs, vulnerability management tools, threat intelligence platforms, email security products, and cloud security solutions.

You'll own the full lifecycle of these integrations: building new ones, keeping existing ones healthy, and setting up realistic lab environments that mirror what our customers actually run. When something breaks in the field (or can't be reproduced internally) you'll be the one figuring it out.

You won't be doing this alone. You'll work closely with our Product, Engineering, and Security teams, and you'll have access to modern AI-powered development tools that let you move fast without sacrificing quality.

The Impact You Will Have

Design, build, and maintain integrations with leading third-party security products
Own the full lifecycle of existing integrations - maintenance, bug fixes, upgrades, and reliability improvements
Research vendor APIs, authentication flows, event schemas, and product capabilities to unlock new integrations
Translate complex security telemetry into normalized, actionable data
Build and maintain lab environments that mirror real enterprise security deployments
Reproduce field scenarios, validate detections, and troubleshoot integration behavior end-to-end
Investigate issues in customer-like environments when they can't be reproduced internally
Continuously evaluate new security technologies and identify integration opportunities
Use modern AI-driven development tools to accelerate delivery and improve quality

We are looking for a talented Full Stack Engineer to join our growing web application engineering team. This is a unique opportunity to join a high-performing, tech-driven environment where you will influence architecture, shape new features, and contribute to building a robust, scalable platform.

In this role, you will work across the stack - designing and developing end-to-end features, improving system performance, and helping build an engineering culture that emphasizes quality, reliability, and clean code. You will collaborate closely with our Product, Data, and AI teams to build innovative, AI-driven capabilities that power the next generation of creative intelligence.

As part of a fast-moving startup and an industry leader, your contributions will directly impact our product evolution and customer experience.



Key responsibilities:

Design, develop, and own fullstack features end-to-end, from planning to deployment and monitoring.
Contribute to architectural decisions and help build scalable, maintainable systems.
Write clean, testable, and well-documented code while upholding high standards across the team.
Diagnose, debug, and resolve complex issues while continuously improving platform reliability.
Collaborate closely with cross-functional teams (Product, Data, AI) to deliver high-impact solutions.
Participate in code reviews, knowledge sharing, and ongoing improvements to development workflows.
Stay up to date with modern technologies and bring fresh ideas to improve efficiency, tools, and developer experience.

Were looking for a Software Engineer - Data Operations Platform to join our Data Operations team and help build the internal systems and platforms that power our data workflows at scale.

This is a unique opportunity for an early-career engineer who enjoys solving practical problems, building impactful tools, and working closely with data, AI, and operations teams. In this role, youll design and develop scalable internal platforms, automation systems, and AI-driven workflows that support large-scale data operations, including tooling for computer vision workflows, automated QA systems, taxonomy management, and database navigation tools used daily across the company.

As part of a fast-moving startup and an industry leader in AI-driven creative analytics, your work will have a direct impact on engineering efficiency, workflow automation, system scalability, and data quality.



Key Responsibilities

Design, develop, and maintain internal tools and systems that support Data Operations workflows.
Build scalable automation systems for QA processes, taxonomy applications, and large-scale data handling.
Collaborate closely with Data, AI, Product, and Operations teams to solve practical business and operational challenges.
Write clean, maintainable, and reliable code with a strong focus on usability, scalability, and efficiency.
Improve internal workflows by identifying bottlenecks and building scalable solutions.
Work with databases and data pipelines to support operational and analytical needs.
Troubleshoot issues, optimize existing tools, and continuously improve system reliability and performance.
Contribute ideas, experiment with new technologies, and help improve developer workflows and internal processes.

we are growing fast, and as we grow we scale both in the number of patients we treat and in the number of products we have in our portfolio. Your mission is to design and build the next-generation data infrastructure and pipelines, in addition contributing to an ongoing project that serves both our customers and internal data teams with scalable and reliable solutions.

You will:
Make a critical contribution to shaping and developing the core of our Data Platform used for AI research and business intelligence, from design to implementation.

Design and build complex data pipelines to move and manipulate data from a wide variety of data sources.

Create a system that will be used to support our data product offering.

Closely collaborate with various teams, including Software Engineering, AI Engineering and Product Management .
Tech stack:

We are running on AWS with Python as the main programming language for the backend. We are using various technologies such as S3, DBT, ETL, ELT, Spark, DynamoDB, Postgres, RabbitMQ, Docker, Redis, Prometheus, Terraform and others. We are always open to new technologies and tools that will help us to do our job even better.

What success looks like:
Self-contributor who excels at working independently and can also collaborate effectively as a valuable team member.

Mentor and advise other team members in code review, performance, scalability and more.

Eager to learn new things and also proactively suggest new ideas and initiatives.

Excellent communication and collaboration skills.

Team player, highly motivated, can-do approach.