Lead technical design and delivery for strategic enterprise deployments, architect solutions, and mentor forward deployed engineers while influencing product strategy and customer success.
Compensation
For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Lead technical design and delivery for strategic enterprise deployments, including SSO and identity architecture, multi-system integrations, and security and compliance reviews
Architect and build complex, production-grade automations and workflows with Flow’s natural-language builder across tools such as Okta, Microsoft Teams, Slack, Jira, Workday, Zoom, Microsoft 365, and ServiceNow
Design knowledge and retrieval strategies across document sources such as SharePoint, Google Drive, Box, Notion, and the ServiceNow knowledge base
Solve problems the product does not yet handle by designing and documenting scalable workarounds, and convert them into reusable patterns, reference architectures, and product capabilities
Lead proof-of-concept and strategic evaluation efforts, partnering with sales and executive stakeholders to demonstrate value and win competitive engagements
Requirements
Nice to have: service desk offerings
Nice to have: AI-native or cloud-native enterprise products
Lead technical design and delivery for strategic enterprise deployments, architect solutions, and mentor forward deployed engineers while influencing product strategy for ServiceNow Flow.
Compensation
For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Lead technical design and delivery for strategic enterprise deployments
Architect and build complex, production-grade automations and workflows
Design knowledge and retrieval strategies across document sources
Solve problems the product does not yet handle
Lead proof-of-concept and strategic evaluation efforts
Requirements
Nice to have: service desk offerings
Nice to have: AI-native or cloud-native enterprise products
Lead technical design and delivery for strategic enterprise deployments, architect solutions, and mentor forward deployed engineers while influencing product strategy and customer success.
Compensation
For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Lead technical design and delivery for strategic enterprise deployments
Architect and build complex, production-grade automations and workflows
Design knowledge and retrieval strategies across document sources
Solve problems the product does not yet handle
Lead proof-of-concept and strategic evaluation efforts
Requirements
Nice to have: service desk offerings
Nice to have: AI-native or cloud-native enterprise products
Nice to have: product-led growth or consumption-priced software
Nice to have: building an onboarding or implementation motion
Lead business and technology transformation initiatives from strategy through execution and value realization, partnering with executive stakeholders to define priorities, shape solution architecture across cloud, data, AI, digital, and platform engineering domains, and build trusted relationships with senior client executives.
A senior technical authority for Flow customers, guiding strategic and enterprise accounts from first demo and trial to long-term, expanding success. The role combines deep technical implementation, strategic customer partnership, and cross-functional leadership.
Compensation
base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits
Responsibilities
Lead technical design and delivery for strategic enterprise deployments, including SSO and identity architecture, multi-system integrations, and security and compliance reviews.
Architect and build complex, production-grade automations and workflows with Flow’s natural-language builder across tools such as Okta, Microsoft Teams, Slack, Jira, Workday, Zoom, Microsoft 365, and ServiceNow.
Design knowledge and retrieval strategies across document sources such as SharePoint, Google Drive, Box, Notion, and the ServiceNow knowledge base.
Solve problems the product does not yet handle by designing and documenting scalable workarounds.
Lead proof-of-concept and strategic evaluation efforts, partnering with sales and executive stakeholders.
Requirements
Nice to have: service desk offerings
Nice to have: AI-native or cloud-native enterprise products
As a Staff Data Scientist, you will make AI agents measurably better by owning evals, trace and error analysis, and the improvement loop that turns production findings into fixes.
Compensation
Competitive rewards on the market
Responsibilities
Own the evals strategy for agents: pre-release behavioral testing, production monitoring, and the judges that score conversations.
Run continuous error analysis on agent traces at scale to find failure patterns and rank improvement opportunities.
Close the loop by turning findings into fixes and new evals, shipping them, and measuring results with sound-and-after and causal methods.
Improve agent skills, harness, and CLI using trace evidence.
Partner with delivery and customer teams to take real customer flows from underperforming to reliably healthy.
Requirements
BS or MS in a technical field (Computer Science, Statistics, Applied Math, Operations Research, Economics, etc.)
The AI Engineer will build and maintain a fleet of AI agents working alongside people, using Microsoft Foundry, Salesforce, and Azure.
Compensation
Remote work is being considered for this role excluding the following states: California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee unless willing to relocate.
Responsibilities
Build and maintain shared agent tools and capabilities.
Configure Foundry prompt agents: instructions, model selection, tool assignments, permissions, and guardrails, ready for others to test and tune.
Customize and extend tools when an agent needs something the shared set doesn't yet cover.
Partner with AI Specialists and domain experts as they test against real cases, and coach them on prompt design and evaluation.
Deploy agents and monitor the fleet through the Foundry control plane: evaluations, monitoring and alerts, audit trail, and cost.
Requirements
Bachelor's degree in a technical discipline (computer science, engineering, information systems, or similar), or an equivalent combination of education and experience.
Nice to have: Microsoft Foundry (Azure AI Foundry)
The salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $166,900 to $278,100 Bay Area California offices – $173,800 to $289,700 All other offices locations in the US, including Sacramento – $139,100 to $254,900
Responsibilities
Partner with client stakeholders to understand business objectives
Lead discovery, requirements definition, solution design, and implementation activities
Design and deliver solutions across AI, cloud, data, digital, and platform engineering domains
Translate business requirements into scalable architectures, delivery plans, and engineering workstreams
Own solution delivery end-to-end
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
The salary range for this job is:
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400
Bay Area California offices – $189,400 to $393,200
All other offices locations in the US, including Sacramento – $151,500 to $346,000
Responsibilities
Lead business and technology transformation initiatives from strategy through execution and value realization
Partner with executive stakeholders to define business priorities, transformation roadmaps, and investment strategies
Shape and oversee solution architecture across cloud, data, AI, digital, and platform engineering domains
Align business objectives, operating models, and technology solutions to drive measurable outcomes
Lead cross-functional teams spanning product, engineering, architecture, and business stakeholders
Requirements
Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience
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