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We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
What Youll Do:
Design, develop, and maintain scalable, secure data platforms and backend services on AWS.
Build batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS.
Develop backend components and data-processing workflows in a cloud-native environment.
Optimize performance, reliability, and observability of data pipelines and backend services.
Collaborate with ML, backend, DevOps, and product teams to deliver data-powered solutions.
Drive best practices, code quality, and technical excellence within the team.
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).
Tech Stack:
AWS Services: S3, Lambda, Glue, Step Functions, Kinesis, Athena, EMR, Airflow, Iceberg, EKS, SNS/SQS, EventBridge
Languages: Python (Node.js/TypeScript a plus)
Data & Processing: batch & streaming pipelines, distributed computing, serverless architectures, big data workflows
Tooling: CI/CD, GitHub, IaC (Terraform/CDK/SAM), containerized environments, Kubernetes
Observability: CloudWatch, Splunk, Grafana, Datadog
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).

We are looking for a Senior SW, full-stack Developer
To lead technical efforts and develop core components of our platform
Take part it architectural decisions and implementations.

we are looking for a AI Architect.
Responsibilities
1. AI Architecture & Technical Leadership
Guide AI architectural direction across platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.
2. Hands-on Applied Innovation (Core Pillar | ~50%)
Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:
De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering
3. Best Practices & Technical Enablement
Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)
Ensure AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.

We're looking for a Technical Account Manager to join our growing team and serve as trusted advisors to our customers. As a TAM, youll play a critical role in driving customer success by combining your technical expertise with your passion for customer engagement. Youll guide customers through onboarding, help them maximize value from our platform, and ensure their long-term satisfaction and retention.
While the primary focus of this role is post-sales, you will also support pre-sales activities, partnering with the sales team on technical deep-dives, product demonstrations, and proof-of-value engagements to help win new business.
Responsibilities
Build strong relationships with customers and become their primary point of contact for technical matters
Own the post-sales technical relationship, ensuring successful onboarding, implementation, and ongoing usage
Provide technical guidance, conduct training sessions, and lead workshops to help customers get the most out of our platform
Deeply understand customer architecture and workflows, offering proactive recommendations and best practices
Act as the voice of the customer internally, working closely with Product, Engineering, and Support teams
Monitor account health, identify risks, and proactively drive resolutions
Partner with the sales team on technical evaluations, product demonstrations, and proof-of-value engagements
Serve as a technical resource during prospect meetings, addressing architecture and security questions
Help craft tailored proposals and technical solutions that align with prospect requirements.

We are looking for an experienced and motivated R&D Team Leader to join our engineering organization.
This role combines hands-on technical leadership with team management responsibilities, leading the development of a complex and scalable solution.
The ideal candidate will guide the team in building high-quality products while driving architectural decisions and ensuring strong engineering practices.
If you are passionate about technology, excited about AI innovation, and thrive in a proactive, ownership-driven environment - wed love to meet you.
Responsibilities:
People Leadership & Team Development:
Lead hiring processes and build a strong, high-performing team.
Provide regular feedback to team and conduct 1:1 meetings to support professional growth, especially of junior team members.
Facilitate and lead team rituals to foster collaboration, alignment, and continuous improvement.
Technical Leadership & Execution:
Demonstrate proficiency in the teams technologies and guide technical direction.
Own the delivery of high-quality solutions, reviewing code and designs, while remaining fully hands-on.
Drive sprint planning and execution, ensuring timely delivery of features with high quality and low defect rates.
Identify, communicate, and escalate risks and blockers to maintain progress.
Product & Collaboration:
Understand the product and user domain, ensuring team work aligns with product goals and customer needs.
Work closely with Product Managers, designers, and QA to ensure alignment and smooth development.
Communicate updates and progress transparently to stakeholders.
Adjust team priorities and plans in response to changing circumstances and constraints.
Innovation & Continuous Improvement:
Encourage the team to experiment and try new approaches to solving problems.
Explore and promote the use of generative AI tools (e.g., Copilot, ChatGPT) to enhance coding, documentation, and daily workflows.
Make data-informed decisions, balancing priorities, technical constraints, and business needs.

We are looking for a strategic product leader to head Data Platform domain - a core area of our offering. This role is critical to the companys growth, driving both short-term impact and long-term vision for managing and leveraging massive amounts of structured and unstructured clinical data. In this role, you will lead the product strategy and execution for the domain, while guiding and mentoring product managers within the team. You will work closely with Engineering, Data Science, Clinical Experts, the rest of the Product group, as well as partners and strategic customers, shaping how our platform operates and scales to meet the needs of our growing business.
Responsibilities:
Define and drive the roadmap for Data Platform, balancing short-term business needs with long-term scalability and platform strategy.
Own the product vision for data ingestion, processing, and access, ensuring the platform supports all product groups and business initiatives.
Lead and mentor a team of product managers, fostering growth, collaboration, and a culture of ownership and impact.
Support your team in translating complex technical and data requirements into clear product specifications, prioritizing initiatives that maximize business impact.
Partner closely with Engineering, Data Science, Clinical Experts, Customer Success, the entire PM group, and external partners and strategic clients, to design and prioritize initiatives, ensuring data quality, performance, and usability.
Drive cross-team technical initiatives end-to-end, coordinating dependencies and aligning stakeholders across the organization.
Establish key metrics to measure platform performance, adoption, and impact on product outcomes.

We are a well-funded cybersecurity startup backed by top-tier VCs. Our mission is to solve some of the most challenging problems in the security of software- how to make AI-first organizations release applications fast and not be bothered by security, leveraging AI agents to create secure code and fix vulnerabilities.
We are in a fast-growing, new space and looking to lead this new era of application security where AI write code.
The Role
We are looking for an experienced Development Team Lead to lead a team of talented engineers building core components of our platform.
This is a hands-on leadership role combining technical ownership, people management, and architectural decision-making. You will lead a team of engineers, drive execution of complex projects, and help scale both the technology and the team.
Responsibilities
Lead and mentor a team of software engineers, fostering technical excellence and ownership
Drive the design, architecture, and development of scalable cloud-native services
Collaborate with product, security, and platform teams to deliver high-impact features
Maintain high engineering standards including code quality, testing, and system reliability
Take an active role in hands-on development and technical problem solving
Support team growth through mentoring, feedback, and hiring.

Required Full Stack GenAI Engineer
Position Overview:
We are assembling a small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As a Senior Full Stack GenAI Engineer, you will be a critical architect of the technological infrastructure that brings our most ambitious GenAI concepts to life, transforming our digital intelligence solutions through cutting-edge AI innovation.
What youll love about your mission:
You are more than a developer, you are an innovation catalyst who will:
Transform abstract GenAI concepts into tangible, functional web applications
Design and develop flexible, scalable platforms that can rapidly prototype AI-driven solutions
Create intuitive interfaces that showcase the transformative potential of our AI technologies
Build the technological bridge between complex AI research and user-friendly product experiences
Experiment fearlessly with emerging technologies to push the boundaries of what's possible
What sets this role apart: Innovation at the Intersection of Technology
You'll be working at the forefront of GenAI product development
Every line of code you write has the potential to unlock a breakthrough GenAI solution
Your technical expertise will directly impact the future of digital intelligence technologies
Exploration and Innovation
Develop adaptive web architectures that can quickly integrate new GenAI capabilities
Experiment with cutting-edge frontend and backend technologies
Create flexible systems that can evolve with rapidly changing GenAI technologies
Collaborate closely with AI/GenAI researchers to translate complex concepts into user-friendly interfaces.

We're currently seeking a Data Research Team Lead to join our Data Research Group and help proactively drive product growth and performance through the provision of strategic product insights and deep expertise with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key product insights, identify improvement opportunities, and drive data-informed product initiatives forward.
Responsibilities:
Lead and mentor a team of product analysts embedded across product squads, driving high-impact analytics and professional growth.
Own and shape the companys product KPI framework, driving clarity, alignment, and real-time visibility across the organization to ensure every decision is grounded in impact.
Act as a strategic thought partner to Product leadership and executive stakeholders, to translate business strategy into measurable outcomes and data-driven roadmap decisions.
Drive structured analysis around feature development, product performance, and long-term optimization.
Own and oversee analytical data pipelines, ETL processes, and BI development within the team, ensuring scalable, reliable, and well-governed data assets.

we are looking for a Engineering Manager.
As Engineering Manager (Data Platform), you will own this critical layer end-to-end - leading multiple teams responsible for acquiring, transforming, and serving healthcare data at scale.
This role combines people leadership, technical ownership, and strategic influence. You will lead the teams that ingest data from diverse external sources (EMRs, HIEs, external Snowflake instances and more), transform it into core data structures, and reliably serve it to internal and external consumers across the company.
As an architectural owner of one of most critical assets, you will work closely with Product, Engineering, Medical, AI, and Support teams, and play a key role in shaping R&D leadership and long-term growth.
Responsibilities:
People Leadership
Lead, grow, and support multiple data teams (currently two teams), creating an environment where people thrive professionally and personally
Hire top talent and build strong team structures that can scale with the company
Coach, mentor, and up-level managers and senior engineers, fostering ownership and accountability
Promote a culture of excellence, collaboration, and continuous learning
Technology & Architecture
Own data platform end-to-end: ingestion, transformation, storage, and serving layers
Connect business and product needs with pragmatic, scalable technical solutions
Drive architectural decisions that balance speed, quality, reliability, and long-term maintainability
Ensure the data platform supports both current products and future growth
Cross-Company Leadership
Lead complex, cross-team technical initiatives involving Product, Engineering, AI, Medical, and Support
Serve as a key interface between data teams and the rest of the organization
Be a thought partner to product and business leaders on data capabilities and trade-offs
R&D Management
Be an active member of R&D leadership team
Help define priorities, execution plans, and best practices as scales
Contribute to company-wide technical and organizational decisions
AI-First Mindset
Drive adoption of an AI-first approach to building, running, testing, maintaining, and documenting systems
Encourage the use of AI tools and practices to increase team efficiency, quality, and innovation
Help redefine how data platforms are built and operated in an AI-native company

Job Description Summary:
Apply strategic and data analytics skills to solve problems for the company Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency.
Job Description:
As a Decision Scientist you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization.

What will you do
Lead the design, development, and optimization of core backend services using Java and modern JVM technologies.
Own the architecture and performance of mission-critical components: data ingestion, processing pipelines, distributed services, storage abstractions, and internal frameworks.
Drive large-scale refactoring, modernization, and reliability initiatives.
Establish and maintain high engineering standards, code quality, and best practices across the entire R&D
Build and improve systems that handle high throughput, low latency, and massive data scale.
Work closely with DevOps/SRE/R&D teams to strengthen infrastructure, observability, automation, and deployment practices.
Diagnose complex production issues spanning multiple services, layers, and technologies.
Continuously improve system performance, resource efficiency, and cost footprint.
Lead, mentor, and grow a team of backend engineers and define best practices for the entire R&D
Conduct technical reviews, coaching, and hands-on training to elevate the teams skill set and the R&D
Collaborate with cross-functional teams to understand platform needs and translate them into a clear engineering roadmap.

We are looking for B.A. / B.Sc. / M.A. / M.Sc. students with at least 1.5 years (a minimum of 3 semesters) remaining in their studies, who are available to work 3.5-4 days per week. Please note that this position is not focused on Machine Learning engineering. Decision scientists Interns are highly motivated team players with strong analytical skills. Our Decision Scientists specialize in creating, driving, and executing initiatives to mitigate fraud on our companys platform and improve the experience for our companys hundreds of millions of customers while guaranteeing compliance with regulations. Our Decision Scientists specialize in analysing user behaviours, creating and leveraging advanced proprietary risk management mechanisms. as an intern, you will overcome challenges presented by big data, evolving fraud techniques, new payment technologies and human behaviour.
Job Description:
Your day to day
In your role as a Decision Scientist Intern, you will:
Master our companys data warehouse to help gain insights into consumer risk
Perform data-driven behaviour research
Transform results into business cases
Develop and own data-driven risk decision strategies to support our companys global financial business goals
Measure performance against KPIs and goals
Close collaboration with partners and stakeholders in Risk and in our company to execute our companys long-term strategy
What Do You Need To Bring-
Education: student status required Bachelor / Master
Student status - 2 years remaining before graduation, preferably in one of the following: engineering, computer science, math, physics, statistics, economy, accounting, business, cognitive science, medicine
Availability for 50% position or more
Some experience with SQL and Excel
Some experience with programming / R / Python / BI tools - advantage
Excellent spoken and written English
Quick-thinker, fast learner, problem solver
Team worker, responsible and trustworthy
People person - ability to communicate and motivate
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Job Description:
Essential Responsibilities:
Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.

Required AI Architect
Position Overview:
As the AI Architect for our SaaS Platform & Products, you will define and drive the end-to-end AI architecture that powers our cloud AI platform and product capabilities, while ensuring strong alignment with security, privacy, reliability and cost-efficiency requirements. You will partner closely with engineering leaders, product management, data science, security and operations to translate business needs into a scalable, governed and AI platform that accelerates innovation across multiple product lines.
This is a hands-on architecture role: you will set technical direction, run architectural reviews, and build prototypes to validate technology choices and de-risk delivery.
Key Responsibilities:
Own the AI Vision: Take end-to-end ownership of the AI architecture across, including our cloud AI platform, agentic AI infrastructure, and on-prem/hybrid AI deployments.
Architect an AI Platform for SaaS Products: Define reference architectures and shared building blocks (e.g., AI gateways, orchestration runtimes, memory/RAG systems, vector search, evaluation frameworks, observability, and guardrails) that can be adopted consistently across products and teams.
Cost Optimization and Scalability: Provide architectural leadership to ensure AI systems are designed for cost efficiency and scalability, actively identify and implement opportunities to optimize cloud spend (FinOps), improve utilization, and meet latency/SLO targets.
Product-Centric Collaboration: Collaborate with engineering, product, data science, security, and operations teams to translate product requirements and business needs into a strategic AI architecture that drives measurable product value.
Technology Evolution and Prototyping: Evaluate new technologies, tools, and methodologies to continuously improve our AI systems, build prototypes and proof-of-concepts to validate approaches and accelerate decision-making.
Technical Reviews, Standards and Mentorship: Lead technical design reviews and provide guidance on best practices and emerging technologies. Act as a technical authority and mentor, fostering a culture of engineering excellence and pragmatic delivery.
AI Governance, Privacy and Security: Ensure AI capabilities comply with data privacy, security, and ethical AI guidelines. Partner with security and legal stakeholders to implement governance controls and risk mitigations appropriate for regulated environments.