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Manager of Risk & Governance Location New York, NY; San Francisco, CA Employment Type Full time Location Type On-site Department Operations InfoSec / Compliance Overview Application Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. Role Overview The Head of Risk & Trust Governance is responsible for designing, operating, and continuously maturing the organization's enterprise risk management and control environment. This leader owns the full lifecycle of risk governance — from obligation identification and control architecture to risk measurement, reporting, and external representation — ensuring the organization operates within its stated risk appetite while advancing its strategic objectives. Sitting at the intersection of risk, compliance, technology, and AI safety, this role is uniquely positioned to shape how the organization understands and responds to a dynamic regulatory and operational risk landscape. The ideal candidate brings deep expertise in enterprise risk frameworks, a systems-level perspective on controls design, and the executive presence to represent the organization's risk posture to regulators, customers, and other critical external stakeholders. This is a high-visibility, high-impact role that operates across all business functions. Success requires the ability to translate complex risk concepts into actionable governance structures, influence without direct authority, and build trusted relationships internally and externally. What You'll Do Control Environment & Risk Framework Architecture Architect and govern a control environment that drives efficient, prioritized adherence to organizational obligations in alignment with management's objectives and stated risk appetite. Design and continuously operate an enterprise risk management framework spanning risk identification, measurement, mitigation, monitoring, and reporting — contextualized against the organization's obligations, objectives, and risk tolerance. Establish a disciplined approach to risk prioritization that balances operational efficiency with the rigor required to address high-severity exposures across the enterprise. Policy, Standards & Controls Governance Architect and govern the organization's policy and standards issuance lifecycle, ensuring timely coverage of emerging obligations and strategic priorities. Oversee the design, implementation, and ongoing operation of controls and guardrails that drive adherence to obligations and objectives within defined risk appetite thresholds. Develop and maintain a structured controls taxonomy and policy hierarchy, ensuring alignment, traceability, and clear ownership across the enterprise. Enterprise Inventories & Ecosystem Oversight Own and maintain the enterprise risk registry and control inventory, ensuring completeness, accuracy, and operationalization across all relevant functions. Provide oversight over the design, quality, and utilization of key risk-related ecosystem inventories, including data inventories, IT asset inventories, and other foundational records management infrastructure. Champion data quality and governance standards across risk-related inventories, enabling confident risk measurement and management decisions. Risk Reporting & Executive Communication Develop and maintain executive-quality reporting on enterprise risk posture, policy and standards coverage, and the efficacy of regulatory and risk-driven controls. Contextualize risk reporting against the organization's obligations, objectives, and risk appetite — enabling senior leadership and the Board to make well-informed decisions. Drive continuous improvement of risk metrics, dashboards, and reporting cadences to reflect evolving organizational priorities and stakeholder needs. AI Governance & Ethics Coordinate with the Head of AI Governance (in Legal) to manage AI risk. Own and maintain the AI use-case inventory and the AI use-case risk and ethics evaluation framework, including use-case tiering and risk classification methodologies. Ensure AI governance practices are aligned with regulatory expectations, ethical principles, and enterprise risk appetite, and that evaluation frameworks evolve in step with the rapidly changing AI landscape. Partner with product, engineering, legal, and compliance stakeholders to embed AI risk considerations into the design and deployment of AI systems. External Engagement & Regulatory Representation Represent the organization on risk, governance, and AI safety topics in interactions with regulators, customers, auditors, and other external stakeholders. Lead or contribute to the negotiation of contracts, agreements, and licenses with risk and compliance implications, advocating for risk-informed terms and organizational protections. Monitor the external regulatory and industry landscape to anticipate emerging obligations, translate new requirements into actionable internal frameworks, and proactively position the organization ahead of compliance deadlines. What We're Looking For Experience & Background 20+ years of progressive experience in enterprise risk management, compliance, internal audit, or a closely related governance discipline. Demonstrated track record of designing, implementing, and maturing enterprise risk management frameworks and control environments at scale. Prior experience owning or significantly contributing to policy and standards governance programs, including the lifecycle management of policies, standards, and controls. Meaningful exposure to AI governance, responsible AI, or technology risk — with working knowledge of AI risk and ethics frameworks, use-case evaluation methodologies, and emerging AI regulation. Experience engaging with external regulators, auditors, or enterprise customers on risk and compliance topics; including participation in regulatory examinations, customer due diligence processes, or contract negotiations. Skills & Capabilities Exceptional ability to design and communicate governance structures, risk frameworks, and control architectures to both technical and non-technical audiences. Strong analytical and systems-thinking skills, with the ability to synthesize complex risk landscapes into clear, prioritized frameworks and actionable recommendations. Demonstrated ability to build and maintain inventories and registries (risk, control, data, asset) with a strong focus on data quality, usability, and organizational adoption. Excellent written and verbal communication skills, including the ability to develop executive-quality risk reporting and represent the organization credibly in high-stakes external conversations. Proven ability to influence cross-functional stakeholders and drive alignment on governance priorities without direct authority. Mindset & Approach A risk practitioner who operates with both rigor and pragmatism — focused on building governance infrastructure that is operationally effective, not just technically compliant. Intellectually curious and adaptive, with a commitment to staying current on evolving regulatory requirements, risk management best practices, and AI governance developments. A trusted, credible voice — internally with leadership and cross-functional partners, and externally with regulators, customers, and the broader governance community. Highly collaborative and organizationally astute, with the ability to navigate complex stakeholder environments and build durable governance partnerships across the enterprise. Motivated by building — comfortable operating in ambiguous, fast-moving environments where governance structures are maturing and the work requires both strategic vision and hands-on execution. What We Offer: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. Meals: Lunch and dinner are provided in the office daily. Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Reflection AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

57 days ago

Manager of Technology & Security Engineering

Reflection AI · New York City, New York, United States

Pay

$120k–230k

Setting

On-site

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Manager of Technology & Security Engineering Location New York, NY; San Francisco, CA Employment Type Full time Location Type On-site Department Operations Overview Application Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. Role Overview The Head of Technology & Security Engineering is responsible for architecting and operating the security engineering foundation that protects the organization’s corporate environment, multi-cloud research infrastructure, and multi-million-dollar GPU training capacity. This leader owns the full technical security stack — from end-user compute and zero-trust access to cloud and container security, detection engineering, and security-as-code — ensuring the organization can move at research speed without sacrificing rigor. Sitting at the intersection of security engineering, infrastructure, and research operations, this role is uniquely positioned to define how a frontier AI company protects its most sensitive assets — model weights, training data, and GPU capacity — while preserving the low-friction environment researchers and engineers need to do their best work. The ideal candidate brings deep, hands-on technical depth alongside the executive presence to lead a security engineering function, represent the organization’s security posture to auditors and enterprise customers, and negotiate vendor and contractual risk. This is a high-visibility, high-impact role that operates across engineering, infrastructure, legal, and physical security. Success requires the ability to design guardrails rather than gates, build systems that assume compromise, and operate credibly as both an executive leader and a hands-on builder. What You'll Do High-Performance End User Compute (EUC) Design and manage a highly resilient corporate device fleet spanning Linux, macOS, Windows and specialized hardware such as NVIDIA GPU workstations. Shift the fleet away from restrictive MDM policies toward intelligent posture verification and cryptographic device binding, reducing friction without reducing assurance. Secure diverse local toolchains and developer environments without breaking the workflows researchers and engineers depend on. Securing the Research & Training Boundary Architect cloud-native security controls across multi-cloud environments that contain multi-million-dollar GPU clusters. Establish IAM governance, network segmentation, and isolation boundaries appropriate to the scale and sensitivity of training infrastructure and model assets. Partner with infrastructure and research teams to ensure security controls scale with GPU capacity rather than constrain it. Phishing-Resistant Zero-Trust Access Implement continuous, context-aware authorization using modern mesh networks and proxies (e.g., Tailscale, Cloudflare One). Enforce hardware-backed authentication (WebAuthn/FIDO2 keys) across every corporate and production plane. Eliminate standing and persistent access in favor of just-in-time, verifiable authorization. Security as Code (SaC) Ensure 100% of infrastructure, endpoint configurations, IAM policies, and cloud environments are declared in code (Terraform/Pulumi). Eliminate configuration drift through automated CI/CD validation and continuous compliance checks. Build repeatable, auditable deployment pipelines that make security posture provable rather than assumed. Behavioral Detection Engineering Build telemetry pipelines that ingest high-fidelity logs into a cloud-native data lake to support detection at scale. Detect sophisticated post-exploitation techniques, lateral movement, and living-off-the-land attacks across corporate and production environments. Continuously tune detection coverage against an assumed-breach threat model, prioritizing time-to-detect and blast-radius containment. Compliance, Audit & Vendor Risk Support SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews. Lead vendor risk assessments, procurement security reviews, and security-related legal contract negotiations. Own front-line defenses for a frontier AI company, including physical security and data center security operations. What We're Looking For Experience & Background 20+ years of deep engineering experience at high-valuation companies, or in defense-grade environments. Battle-tested technical leadership with a track record of building and operating security engineering functions at scale. Experience supporting SOC 2, ISO 27001, FedRAMP, ISO 22237, ISO 22301, NIST CSF, customer audits, and enterprise security reviews. Experience leading vendor risk, procurement security reviews, and legal contract negotiations. Experience with front-line defenses for an AI company, including physical security and data center security operations. Skills & Capabilities Deep familiarity with Linux and macOS internals, including how to secure specialized hardware (NVIDIA GPUs) without breaking developer environments. Expert-level knowledge of public cloud architectures, IAM governance at scale, and Kubernetes/container isolation primitives. Technical understanding of cloud and infrastructure security, Kubernetes and container security, zero-trust architectures, security operations at scale, identity and access management, detection and response technologies, and security automation and orchestration. Ability to operate as both an executive leader and a hands-on builder, moving fluidly between strategy and implementation. Mindset & Approach A “guardrails, not gates” philosophy — understands that blocking a researcher from pulling a Python library or mounting a filesystem means security has failed, and builds accordingly using virtualization, sandboxing, and data isolation. An adversarial mindset that designs systems under the assumption the endpoint will be compromised, focusing defenses on limiting blast radius, eliminating persistent access, and detecting post-compromise activity immediately. Motivated by building — comfortable operating in ambiguous, fast-moving environments where security infrastructure is maturing alongside a rapidly scaling research organization. What We Offer: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. Meals: Lunch and dinner are provided in the office daily. Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Reflection AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Finance

82 days ago

Strategic Finance Manager

Reflection AI · New York City, New York, United States

Pay

$125k–200k

Setting

On-site

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Strategic Finance Manager Location New York, NY; San Francisco, CA Employment Type Full time Location Type On-site Department Finance FP&A Overview Application Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. Role Overview As a Strategic Finance Manager, you'll help build the core muscles of our capital allocation, forecasting, and planning processes. You'll work across the business — spanning GTM, compute, R&D, and corporate finance — building models and analyses that inform how we allocate resources, evaluate opportunities, and plan for growth. The work will vary depending on where you focus, but the common thread is connecting ground-level business activity to rigorous financial thinking. What You'll Do Build financial models across a range of contexts — deals and partnerships, product and channel economics, cost structures, and investment decisions Support the corporate financial model with bottoms-up inputs, and maintain that connection as the underlying business evolves Partner cross-functionally — with sales, GTM, engineering, research, and finance leadership — to translate business activity into financial frameworks Develop cost and investment models (compute, infrastructure, headcount, R&D) to inform resource planning and tradeoff decisions Identify financial risks and opportunities early, and help structure decisions that balance growth with returns Improve the templates, assumptions libraries, and processes used across the team What We're Looking For Strong financial modeling skills – build clean, auditable models from scratch Experience with deal economics, revenue modeling, or commercial finance at a technology company Comfort with cost-side modeling: you understand how compute, headcount, and infrastructure costs behave Ability to work cross-functionally with sales, legal, and product without losing rigor Detail-oriented and intellectually curious Effective communicator; ability to explain model assumptions to non-finance stakeholders Investment banking, consulting, or FP&A backgrounds What We Offer: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. Meals: Lunch and dinner are provided in the office daily. Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Reflection AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

82 days ago

Member of Technical Staff - Web Crawl Engineer

Reflection AI · San Francisco, California, United States

Pay

$140k–250k

Setting

On-site

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Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

About the Role

The web is one of the most important sources of information for frontier AI systems. The quality, coverage, freshness, and diversity of web data directly influence model capabilities.

As a member of the Data Team, your mission is to build and operate large-scale web crawling systems that continuously discover, acquire, and process content from across the internet. You will own the infrastructure that powers web-scale data collection, from URL discovery and scheduling to distributed crawling, content extraction, and dataset delivery.

You will work directly with world-class researchers to understand which parts of the web matter most for model performance and build systems that efficiently acquire high-value content at scale.

This role is ideal for engineers who love building distributed systems, optimizing large-scale crawlers, and solving the unique technical challenges of collecting data from the modern web.

What You’ll Do

Working closely with our pre-training, infrastructure, and data quality teams, you will:

Build and operate web-scale crawling infrastructure capable of continuously collecting data across billions of URLs
Design and optimize URL discovery, prioritization, scheduling, and crawl orchestration systems
Develop distributed crawlers that efficiently acquire content while respecting site constraints and operational requirements
Build systems for content extraction, rendering, parsing, and normalization across diverse web formats
Improve crawl coverage, freshness, efficiency, and quality through measurement and experimentation
Design infrastructure for large-scale recrawling, change detection, and incremental updates
Develop specialized crawlers for high-value domains, dynamic websites, and difficult-to-access content sources
Analyze crawl performance and web coverage to identify gaps, inefficiencies, and opportunities for improvement
Build observability, monitoring, and reliability systems for large-scale crawl operations
Debug production issues and continuously improve the performance, scalability, and resilience of crawling infrastructure

About You

Passionate about web-scale systems and the challenges of collecting information from the internet
Curious about how web data influences model capabilities and willing to iterate based on downstream results
Comfortable balancing crawl quality, coverage, freshness, and operational efficiency
Enjoy working at the intersection of distributed systems, data infrastructure, and AI
Able to collaborate closely with researchers, infrastructure engineers, and data quality teams

Skills and Qualifications

Experience building large-scale web crawling, search indexing, content acquisition, or internet-scale data collection systems
Strong understanding of crawling architectures, URL frontier management, scheduling, and distributed crawl coordination
Experience with large-scale distributed systems using technologies such as Ray, Spark, Beam, Flink, or similar frameworks
Familiarity with content extraction, HTML parsing, browser automation, rendering systems, and modern web technologies
Experience operating systems that process petabyte-scale datasets
Strong systems engineering skills, including reliability, observability, performance optimization, and debugging
Experience designing experiments and using data to improve crawl quality, coverage, and efficiency
Excellent communication skills and the ability to reason clearly about system tradeoffs and operational constraints

Nice to Have

Experience building search engines, web indexes, or internet-scale crawling platforms
Familiarity with anti-bot systems, dynamic web content, browser automation, and large-scale extraction pipelines
Understanding of how web data is used in training and evaluating large language models
Experience with distributed storage systems, content deduplication, and web-scale dataset management

What We Offer:

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
Meals: Lunch and dinner are provided in the office daily.
Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

Listed by Reflection AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

82 days ago

Member of Technical Staff - Web Crawl Engineer

Reflection AI · San Francisco, California, United States

Pay

$140k–250k

Setting

On-site

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OUR MISSION Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. ABOUT THE ROLE The web is one of the most important sources of information for frontier AI systems. The quality, coverage, freshness, and diversity of web data directly influence model capabilities. As a member of the Data Team, your mission is to build and operate large-scale web crawling systems that continuously discover, acquire, and process content from across the internet. You will own the infrastructure that powers web-scale data collection, from URL discovery and scheduling to distributed crawling, content extraction, and dataset delivery. You will work directly with world-class researchers to understand which parts of the web matter most for model performance and build systems that efficiently acquire high-value content at scale. This role is ideal for engineers who love building distributed systems, optimizing large-scale crawlers, and solving the unique technical challenges of collecting data from the modern web. WHAT YOU’LL DO Working closely with our pre-training, infrastructure, and data quality teams, you will: - Build and operate web-scale crawling infrastructure capable of continuously collecting data across billions of URLs - Design and optimize URL discovery, prioritization, scheduling, and crawl orchestration systems - Develop distributed crawlers that efficiently acquire content while respecting site constraints and operational requirements - Build systems for content extraction, rendering, parsing, and normalization across diverse web formats - Improve crawl coverage, freshness, efficiency, and quality through measurement and experimentation - Design infrastructure for large-scale recrawling, change detection, and incremental updates - Develop specialized crawlers for high-value domains, dynamic websites, and difficult-to-access content sources - Analyze crawl performance and web coverage to identify gaps, inefficiencies, and opportunities for improvement - Build observability, monitoring, and reliability systems for large-scale crawl operations - Debug production issues and continuously improve the performance, scalability, and resilience of crawling infrastructure ABOUT YOU - Passionate about web-scale systems and the challenges of collecting information from the internet - Curious about how web data influences model capabilities and willing to iterate based on downstream results - Comfortable balancing crawl quality, coverage, freshness, and operational efficiency - Enjoy working at the intersection of distributed systems, data infrastructure, and AI - Able to collaborate closely with researchers, infrastructure engineers, and data quality teams SKILLS AND QUALIFICATIONS - Experience building large-scale web crawling, search indexing, content acquisition, or internet-scale data collection systems - Strong understanding of crawling architectures, URL frontier management, scheduling, and distributed crawl coordination - Experience with large-scale distributed systems using technologies such as Ray, Spark, Beam, Flink, or similar frameworks - Familiarity with content extraction, HTML parsing, browser automation, rendering systems, and modern web technologies - Experience operating systems that process petabyte-scale datasets - Strong systems engineering skills, including reliability, observability, performance optimization, and debugging - Experience designing experiments and using data to improve crawl quality, coverage, and efficiency - Excellent communication skills and the ability to reason clearly about system tradeoffs and operational constraints NICE TO HAVE - Experience building search engines, web indexes, or internet-scale crawling platforms - Familiarity with anti-bot systems, dynamic web content, browser automation, and large-scale extraction pipelines - Understanding of how web data is used in training and evaluating large language models - Experience with distributed storage systems, content deduplication, and web-scale dataset management WHAT WE OFFER: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. - Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. - Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. - Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. - Meals: Lunch and dinner are provided in the office daily. - Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. - Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. - Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. - Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

Listed by Reflection AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Customer Service

89 days ago

Engagement Manager

Reflection AI · San Francisco, California, United States

Pay

$135k–175k

Setting

On-site

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Engagement Manager Location San Francisco, CA; New York, NY Employment Type Full time Location Type On-site Department Commercial Applied AI Overview Application Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. Role Overview We're looking for an exceptional Engagement Manager to drive the adoption of Reflection’s technology across enterprises. You will own the end-to-end AI deployment lifecycle, from identifying high-value use cases to driving organizational change and scaled adoption. This role blends strategic advisory with hands-on deployment leadership, working closely with Account Executives, Solutions Architects, and Forward Deployed Engineers to deliver measurable business outcomes. The ideal candidate is commercially sharp, AI-fluent, and energized by bringing structure to fast-moving, ambiguous environments. What You'll Do Support technical discovery sessions to understand customer requirements. Work alongside Solutions Architects and Forward Deployed Engineers to structure strategic engagements, drafting Statements of Work (SOWs) that outline scope, milestones, and success criteria. Enable Forward Deployed Engineers during project delivery by navigating organizational complexity and facilitating access to customer subject-matter experts, systems, and data. Manage customer relationships by maintaining a regular cadence with executive sponsors and technical leads, while surfacing issues and celebrating wins. Lead delivery operations, including sprint ceremonies, milestone reviews, and progress reporting. Translate technical complexity into executive-level updates. Support technical discovery sessions to understand customer requirements and inform engagement design. Support enterprise on-boarding processes by coordinating Reflection's teams to manage security reviews, legal approvals, and procurement processes with account executives. Manage scope and change requests, setting clear expectations and negotiating contract modifications when necessary. Capture customer feedback to inform our research and product development priorities. What We're Looking For 5+ years of experience in roles such as Engagement Manager, Technical Program Manager, or Deployment Strategist within consulting, technology, or enterprise software. A proven track record of delivering complex technical projects to large enterprise customers. High technical acumen with a solid understanding of AI/ML concepts, software architecture, and enterprise systems. Exceptional stakeholder management skills with experience navigating large organizations. You are energized by ambiguity and have the ability to drive organizational change, guiding customers from initial concept to full-scale adoption. What We Offer: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. Meals: Lunch and dinner are provided in the office daily. Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Reflection AI for a position based in the United States. Employers on this board attest they are hiring domestically.

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