Senior Forward Deployed Engineer responsible for designing, deploying, and supporting AI solutions for enterprise customers, collaborating with product and engineering teams to improve platform reliability and scalability.
Locations (6)
Washington, District of Columbia, United States
New York City, New York, United States
New York, United States
Washington, United States
Illinois, United States
Canada
Compensation
The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor’s degree in Computer Science or a related technical field
Design, build, and operate backend services and real‑time APIs for theScore and PENN Interactive platforms, leveraging AI coding agents and ensuring high performance and scalability.
Compensation
$145,000—$193,000 CAD
Responsibilities
Design, scale, and tune APIs and the real‑time delivery behind them
Treat the API schema as a versioned contract with released mobile apps
Build and operate services that stay fast and correct under high throughput, bursty load
Find bottlenecks and risks in production and drive the changes that make the platform scale
Set up and refine monitoring, alerting, and tracing in Datadog for the systems you own
Design and deliver resilient backend services that support slot locking, booking, modifications, and downstream event publication across OpenTable web, mobile, and partner integrations.
Compensation
We offer a competitive base salary and benefits including: health benefits, retirement benefits, life insurance, paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.
Responsibilities
Design, build, and operate resilient, low-latency backend services and APIs across C#/.NET and Java to support mission-critical diner reservation lifecycles.
Architect robust distributed system mechanisms—including retry logic, rollbacks, failure modes, and multi-region routing—to safeguard correctness and business continuity.
Deconstruct ambiguous product requirements and initiatives into decoupled, incremental engineering milestones in close alignment with Product, TPM, and platform partners.
Champion rigorous software craftsmanship by authoring thorough automated tests, driving observability best practices, and conducting constructive design and code reviews.
Lead rapid triage, root-cause resolution, and blameless post-incident reviews for high-severity production anomalies.
A hands-on technical leadership role within the Behavioural team focused on building intelligence layers that turn customer signals into marketing triggers.
Compensation
The base pay range for this position is $147,300 - $192,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Responsibilities
Shape the Behavioral Platform Architecture: Help define the technical vision, system boundaries, and architecture for services that transform customer activity signals into actionable trigger events.
Lead by Example: Be a hands-on technical leader who contributes directly to high-impact work through design, implementation, code review, debugging, and production support.
Build the Behavioral Decisioning Engine: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
Design Stateful Contact Context: Help architect systems that maintain the short-lived behavioral state and lookback windows needed to evaluate patterns like ‘action without completion,’ multi-event intent signals, and state-change-driven triggers.
Establish a Reusable Pattern Framework: Help build declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently over time.
Seeking a Software Engineer to join the Atlas Agent Engine team to build and scale the core of the platform, focusing on developer CLI, SDKs, and distributed systems including runtime, memory, identity, and governance layers.
Locations (5)
Alberta, Canada
British Columbia, Canada
Manitoba, Canada
Quebec, Canada
Toronto, Ontario, Canada
Compensation
MongoDB’s base salary range for this role in Canada is: $158,000—264,000 CAD
Canada
Compensation
The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor's in Computer Science
Nice to have: Deploying or supporting Generative AI, LLM, or Machine Learning applications in production
Nice to have: Experience with Kubernetes, cloud infrastructure, observability, or MLOps
Nice to have: Experience building customer-facing technical solutions or integrations
Nice to have: Experience creating reusable developer tools, frameworks, or open-source contributions
Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to implement the first version and future evolution of the service
Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
Mentor fellow engineers and assume ownership and accountability of projects
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