Chief Technology Officer

• Own the technical architecture of our data platform: warehouse, ingestion pipelines, identity resolution, and a unified data model across the business.
• Make the early infrastructure calls: ETL tooling, dbt structure, BI layer, orchestration, and data governance posture.
• Sequence the platform buildout to ship a working unified dataset within the first few months.
• Define the technical relationship between our consumer app and our data platform: what gets captured, how identity flows, what gets enriched, and what flows back to the user.
• Partner with the app engineering team (initially contractor, transitioning to FTE) on the consumer surface and event credentialing.
• Ensure event credentialing is production-grade and survives tens of thousands of users on day one.
• Hire and develop the engineering team. Model constraint before headcount: automate, simplify, and ship before you hire.
• Establish the engineering culture: code review, on-call, observability, technical writing, and a high IC bar.
• Be the technical interviewer and bar-raiser on every engineering hire.
• Set and enforce engineering standards company-wide, favoring shipped reference implementations over policy memos.
• Own standards on day one; the broader technology portfolio consolidates under you as systems mature.
• Surface technical constraints to the leadership team in plain language, and carry commercial constraints back into engineering planning.
• Stand up SOC 2 readiness on a timeline that supports enterprise-grade commercial products.
• Own GDPR, consent tiering, and right-to-erasure capability across the platform from day one.
• Make vendor and tooling decisions that survive audit and scale.
• Work with existing technology team to architect and enact future IT infrastructure and steward technical philosophies org wide.

• Lead the adoption of AI-augmented development workflows across the engineering organization, fundamentally increasing what the team can ship and how fast they can ship it
• Mentor engineers, product managers, designers, and business operators in new ways of working, making AI fluency a core competency across the org, not just a tooling layer for a few
• Build on the team’s existing foundation of modern tooling, agile practices, and continuous delivery to foster a culture of continuous experimentation where the team is always testing what’s newly possible and incorporating it into how they work
• Assess which elements of our platform represent durable competitive advantages and which are at risk of being commoditized or disrupted by AI
• In close partnership with the CPO, develop a technical strategy for the agentic future: how our platform should work when users discover, research, and transact through AI agents and intermediaries rather than traditional interfaces
• Identify where we are underinvested, in data, infrastructure, APIs, or capabilities, and build the roadmap to close those gaps
• Ensure our architecture is modular and adaptable, designed to evolve quickly as both the business and the underlying technology landscape change
• Unify two legacy technology platforms into a coherent, modern architecture that serves both brands and all customer segments
• Own the company’s security and infrastructure posture as AI tooling and agentic product surfaces introduce new categories of risk and complexity

• Develop strategy for prioritizing, targeting, and closing key opportunities in assigned territory
• Perform account planning for assigned accounts, coordinating with pre-sales and other resources to ensure strategic alignment
• Initiate and support sales of Workday solutions within Medium Enterprise prospects and shares Workday value propositions
• Maintain accurate and timely customer/prospect, pipeline, and service forecast data

Medium Enterprise Account Executive – Technology, Media

• Serve as Cohesity's primary healthcare industry voice externally — speaking at conferences, authoring content, and engaging with healthcare executives, CIOs, CISOs, and CTOs as a credible peer and trusted advisor.
• Partner with field sales and SE teams on strategic opportunities, participating in executive briefings, workshops, and proof-of-concept engagements with healthcare customers and prospects.
• Translate complex healthcare data challenges — including data protection, ransomware resilience, regulatory compliance, and AI-readiness — into compelling narratives that connect to Cohesity's platform capabilities.
• Build and maintain relationships with key industry bodies, health systems, payers, and technology partners in the healthcare ecosystem.
• Act as the primary conduit between the healthcare field and Cohesity's Product Management organization, surfacing customer requirements, validating roadmap priorities, and advocating for capabilities critical to the vertical.
• Develop and maintain Cohesity's healthcare-specific point of view — including use cases, reference architectures, and competitive positioning — in close collaboration with product, marketing, and engineering.
• Inform go-to-market strategy for healthcare, including segmentation, solution packaging, and partnership priorities.
• Enable and upskill account teams on healthcare-specific selling motions, industry dynamics, regulatory requirements, and technical architectures.
• Serve as an escalation resource for complex technical or strategic situations in key healthcare accounts.

Healthcare Field CTO

• Serve as Founding Engineer and potential CTO, owning technical direction and day-to-day execution.
• Ship the AI coaching product v1 end-to-end — from a React Native mobile app to Claude-backed inference and wearable integrations.
• Architect and build an AI-powered nervous system training coach, including model design, prompt engineering, tool use, and evaluation pipelines.
• Translate biosignals (HRV, breath, motion, PPG) into a real-time personalized coaching layer.
• Build and maintain AI-powered QA and testing pipelines to enable safe, fast daily shipping.
• Own full-stack decisions across frontend, backend, infrastructure, and AI-native layers.
• Integrate iOS/HealthKit and wearable platforms (e.g. Apple Watch, Oura, Whoop, EEG headbands).
• Collaborate closely with the founding team on-site in Montreal, SF, or NYC.

Founding Engineer – Potential CTO

• Lead the technology risk and governance strategy by driving risk initiatives in support of the Enterprise Technology and Transformation strategy to protect our brand, enable business-focused capabilities, and lead with innovation.
• Ownership and liaison for SOX controls with Finance, Internal Audit and External Auditor including responsibility for the annual testing of related IT SOX controls and deficiency remediation.
• Scale and optimize the first-line of defense to proactively identify and mitigate technology risk across the firm.
• Work in tandem with the Enterprise Risk and Compliance team to contribute to the enterprise risk appetite and taxonomy, and design and operate the controls that implement them within technology.
• Operationalize the enterprise risk framework within technology and establish the technology-specific governance needed to run the first line, in coordination with information security.
• Establish and track KPIs and KRIs related to technology risk and compliance across all technology teams; create consistency in measuring and reporting.
• Collaborate with senior stakeholders across the enterprise to integrate risk management into strategic planning, product development, and operational rigor.
• Lead risk assessments and partner with Internal Audit to ensure compliance and identify areas for improvement.
• Drive a culture of risk awareness and continuous improvement, ensuring compliance to industry standards.
• Create risk awareness programs designed to improve the risk fluency of our technology organization.
• Own first-line management of technology risk arising from third parties, external platforms, cloud providers, and critical dependencies—including concentration and continuity exposure—partnering with Procurement / Third-Party Risk Management and the second-line dependency function.
• Own identification, remediation planning, tracking to closure, and timely escalation of technology risks, control issues, and audit action plans across the organization.
• Design, implement, and operate the technology control environment, including control self-assessment and the production of audit- and oversight-ready evidence.
• Embed first-line risk management and controls for AI including model and use-case inventory, secure deployment, monitoring, and control operation.
• Strengthen operational resilience and continuity for critical technology services, including availability and recovery expectations.
• Map regulatory and compliance obligations affecting technology into the control environment, ensuring traceability between obligations, controls, and evidence.

Head of Technology Risk, Governance, and Controls

• Define and validate the technical blueprint across cloud data warehouse, clean room infrastructure, embedding compute, and privacy controls
• Own the data modeling strategy for large-scale behavioral signals across multiple data sources and device types
• Design the embeddings architecture and feature store supporting advertising, commerce, and AI use cases
• Guide clean room design and ensure compliance with applicable privacy frameworks
• Identify and resolve critical path blockers across infrastructure, integrations, and identity resolution
• Pressure-test technical proposals against real-world scale and operational complexity
• Bridge between Blend’s engineering and data science teams and the client’s senior technical stakeholders
• Participate in regular leadership touchpoints with the client’s commercial and product leadership
• Serve as a credible technical voice in early client and partner conversations

CTO – Senior Architect

• Define and execute the enterprise strategy for Observability, AIOps, SRE, and incident intelligence.
• Lead global teams responsible for the platforms, practices, and product roadmap that enable 24x7 operational visibility and resilience across critical technology services.
• Drive the next phase of transformation from reactive monitoring to predictive, AI-assisted operations by advancing telemetry standards, improving signal quality, and scaling automation across the incident lifecycle.
• Partner closely with engineering, platform, and application teams to embed observability into design, build, and run practices, while also leading vendor strategy, platform rationalization, and cost optimization.
• Build trusted partnerships across engineering, infrastructure, architecture, risk, and control functions to deliver secure, stable, and scalable operational outcomes.
• Establish governance and guardrails for AI.
• Improve service availability and reduce customer-impacting outages.
• Enable faster recovery and proactive issue prevention.
• Enhance reliability of digital and core banking platforms.

Head of Technology – AI Operations, Observability

• Lead the development and execution of WES’s technology strategy and operating model in alignment with organizational priorities and 3-year strategic plan
• Partner with the executive team to define and advance WES’s AI vision, strategy and priorities
• Design and lead the evolution of the Technology organization; build the operating model, talent, and capabilities needed
• Establish disciplined portfolio and resource planning practices
• Build and lead a high-performing Technology team
• Oversee the design and implementation of robust technical architectures
• Strengthen data and analytics capabilities to provide timely, trusted insights
• Manage relationships with technology vendors and partners, ensuring these deliver best value, service and outcomes for WES

• Architecting the "Agentic Stack": Define how autonomous agents interact with LLMs, legacy ERPs (SAP, Oracle), and human-in-the-loop workflows. Ensure adoption aligns with the customer’s broader enterprise architecture and digital transformation roadmap.
• Product & Engineering Partnership: Partner with the GM and Product Management to ensure the roadmap is built for "Day 2" enterprise operations. Serve as the final escalation point for complex engineering challenges regarding concurrency, data privacy, and global compliance.
• Enterprise Connective Tissue: Design the framework for Agentforce to navigate fragmented IT landscapes. Ensure the architecture meets the highest standards for AI ethics, data residency, and residency requirements across Supply Chain, FINS, and TMT.
• High-Stakes Technical Advisory: Serve as a strategic advisor to CIO, CTO, and Enterprise Architects at our largest accounts. Lead architectural engagements that translate business strategies into technical enablers for desired outcomes.
• Value Engineering & Prototyping: Lead rapid prototyping for first-of-a-kind capabilities. Develop business cases that link technical agentic reasoning to tangible ROI and measurable business value.
• Field-to-Product Bridge: Prioritize product features based on hyper-scale field requirements. Ensure Regrello-originated capabilities are deeply integrated and leveraged across the broader Agentforce ecosystem.

CTO – Agentic Process Automation, Intelligence

• Advise enterprise customers on how to adopt and operationalise AI in ways that create measurable business impact
• Lead executive workshops and discovery engagements focused on AI strategy, intelligent automation, developer productivity, modernisation and digital transformation
• Help organisations identify high-value AI opportunities across customer experience, operations, software delivery and internal platforms
• Shape transformation roadmaps that combine AI, cloud, data and modern engineering practices into practical execution strategies
• Guide customers through the organisational, operational and technology changes required to become AI-enabled businesses
• Build trusted advisor relationships with CIOs, CTOs, CDOs and senior business stakeholders
• Facilitate strategic conversations around innovation, modernisation, operating models and emerging technology adoption
• Translate complex business and technology challenges into actionable transformation programmes and investment priorities
• Help clients define measurable business outcomes, success metrics and value frameworks for strategic initiatives
• Shape complex solution strategies spanning AI-enabled products, intelligent platforms, cloud modernisation and digital experiences
• Collaborate with engineering, product, design and delivery teams to define differentiated, scalable and commercially viable solutions
• Drive experience-led modernisation approaches that improve agility, resilience, speed to market and customer outcomes
• Ensure solution strategies align to modern engineering principles, platform thinking and scalable delivery models
• Support the growth of strategic customer accounts through trusted advisory and value-led engagement
• Shape strategic pursuits, proposals and large-scale opportunities across AI, modernisation and digital transformation
• Develop compelling business cases and outcome narratives that clearly articulate ROI, operational impact and strategic value
• Partner with Client Principals and delivery leaders to identify expansion opportunities and long-term growth strategies
• Stay close to developments across AI, cloud, developer tooling, platform engineering and enterprise technology trends
• Contribute to Nearform’s market propositions, strategic partnerships and thought leadership across AI and modern engineering
• Help shape new offerings and go-to-market strategies based on evolving enterprise customer needs
• Represent Nearform externally through workshops, events, industry conversations and strategic customer engagements

Field CTO

• Command the Platform and Delivery organizations as distinct operating units — each with its own culture, mandate, and accountability structure — and be the single point of accountability for the output of both
• Own the Kaizen 2.0 architecture: sequence the build of 12 core modules in the right order, hold the line on abstraction, and ensure the foundation compounds rather than fractures under delivery pressure
• Lead the Blacksmith initiative — Kaizen's internal AI configuration harness that transforms agency requirements documents into runnable, pre-configured repositories and eliminates the time-to-first-commit tax on every new federal engagement
• Define and enforce the Platform–Delivery interface: module readiness maps, API contracts, and Blacksmith handoff protocols that keep Delivery fast and Platform honest
• Drive federal technical strategy — FedRAMP posture, DoD IL4/IL5 readiness, and procurement-aware architecture decisions that keep Kaizen competitive in federal BD conversations
• Recruit, develop, and retain builders who operate at the frontier of AI-native government technology — and who understand that shipping for government is different from shipping for anyone else

Chief Technology Officer jobs in New York

See all jobs on JobTailor

Chief Technology Officer

Chief Technology Officer

Medium Enterprise Account Executive – Technology, Media

Healthcare Field CTO

Founding Engineer – Potential CTO

Head of Technology Risk, Governance, and Controls

CTO – Senior Architect

Head of Technology – AI Operations, Observability

Chief Technology Officer

CTO – Agentic Process Automation, Intelligence

Field CTO

Chief Technology Officer