Own and scale critical backend systems that make Rally's control plane trustworthy — governance, permissions, consent, and audit.
Locations (2)
New York, New York, United States
Boston, Massachusetts, United States
Compensation
Base salary range (US): $190-210K
Responsibilities
Own and scale critical backend systems including data sync pipelines, search APIs, email/SMS delivery, and workflow automation with a focus on data integrity, consistency, and customer-facing reliability
Drive platform-level projects that unlock new product capabilities: rate limiting, tenant isolation, and scaling databases and indexing infrastructure
Participate in the shared platform on-call rotation and lead post-incident reviews, improving system observability and resilience
Help shape the backend foundation for Rally’s agentic platform
Influence architectural decisions and establish engineering standards across the backend stack
Lead platform projects across multiple teams, evolving middleware and runtimes for interoperability and multi‑tenant scale, driving observability, capacity planning, and resilience patterns.
Compensation
US: Hiring Range in USD from: $105,900 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Lead cross‑team evolution of middleware patterns or runtimes
Define and enforce versioning, deprecation, and rollout strategies
Drive shared observability baselines and resilience patterns
Design and develop software solutions, ensuring accessibility and performance
Lead technical architecture, design, and delivery of the Facilities Experience (FX) Platform, guiding engineering teams through modernization, migration, and integration of legacy FM applications.
Compensation
Competitive Compensation: Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.
Responsibilities
Define and maintain overall technical architecture, principles, standards, and roadmap for the FX Platform
Lead design and implementation of core platform capabilities including authentication, SSO, role management, administration, workflow services, notifications, and shared platform components
Provide technical direction and governance across multiple delivery squads
Establish architecture review processes and technical standards
Lead technical discovery and assessment for existing FEMS 2.0 applications
As a Technical Manager, you are the technical leader of a strategic client account - or a portfolio of accounts - with end-to-end ownership of the technical success and quality of our solution delivery.
Responsibilities
Take full technical ownership of the client account, acting as the technology leader across all workstreams
Use your technical and product expertise to define and drive our clients’ technical strategy
Become an internal advocate of the client and bring the voice of the customer into the rest of the Backbase organization
Identify opportunities for the customer to have better product adoption, provide guidance on best practices for custom components, and help the client align their requirements with our R&D roadmap
Collaborate closely with the Technical Support, Product Engineering, and Project Implementation teams at Backbase to ensure successful implementations of the Backbase product
Requirements
Bachelor’s or Master’s degree in Computer Science or a related field
Nice to have: Cloud certification (e.g. Azure Certified Solutions Architect)
Lead the engineering team responsible for delivering Redwood's shared AI platform and agentic capabilities, translating AI strategy into an executable engineering roadmap.
Responsibilities
Lead one or more engineering teams responsible for AI platform services, agentic capabilities, developer tools, and product integrations.
Translate business and product priorities into a clear engineering roadmap, delivery plan, and team-level objectives.
Recruit, onboard, manage, and retain engineers with the skills required to build production-grade AI and agentic systems.
Establish clear ownership, performance expectations, decision-making responsibilities, and development plans across the team.
Drive predictable execution through effective planning, dependency management, risk identification, and operational readiness.
Senior Sales Engineer responsible for technical sales and solution engineering in the public sector, leading complex sales cycles and technical evaluations for government and public institutions.
Responsibilities
Lead technical strategy and solution design for public sector accounts
Drive discovery and technical evaluation processes
Collaborate with system integrators, resellers, and cloud partners
Present product demos and technical presentations to stakeholders
Senior Sales Engineer supporting Japan’s Public Sector, responsible for technical evaluation, solution strategy, and customer engagement across hybrid, on-premises, and public cloud environments.
Responsibilities
Own the sales process in partnership with Account Executives
Lead discovery throughout the sales cycle
Deliver engaging product demos and technical presentations
Own the technical strategy and response quality for RFIs, RFPs, proposal responses, and architecture reviews
Full ownership of the technical evaluations end-to-end
Lead cloud infrastructure and DevOps operations, overseeing cloud environments to ensure performance, security, and scalability while guiding a skilled team toward operational excellence.
Responsibilities
Lead the design and optimisation of CI/CD pipelines
Define best practices for automated build, release, and deployment processes
Oversee reliable code delivery across development, staging, and production environments
Lead infrastructure automation using Infrastructure as Code (IaC) tools such as Terraform, Ansible, or similar
Manage and optimise cloud infrastructure across AWS environments and container orchestration platforms (Kubernetes – EKS/ECS)
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
Lead technical and people leadership for AI engineering and data science teams, translating business needs into scalable AI solutions across commercial operations.
Locations (2)
Horsham, Pennsylvania, United States
Titusville, New Jersey, United States
Compensation
The anticipated base pay range for this position is $137,000 and $237,500 USD.
Responsibilities
Provide hands‑on technical leadership for design, engineering, integration, and delivery of scalable AI and agentic solutions
Serve as a technical bridge across Data Science, business stakeholders, architecture, engineering/platform teams, AI platform teams, and external partners
Translate business and Data Science requirements into scalable, enterprise‑ready technical solutions
Lead AI solutions from prototype through integration, deployment, and ongoing enhancement
Advance reusable engineering approaches that enable AI capabilities to scale across brands, therapeutic areas, and commercial use cases
Ph.D. in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related quantitative field
M.S. with 10+ years of commercial pharma experience