Working closely with Shield AI's global finance organization, this role offers deep ownership, high impact, and direct exposure to the complexities of operating a global defence tech company in India, while contributing to a mission-driven organization at scale.

Responsibilities

• Own corporate compliance, statutory filings, and regulatory requirements for Shield AI India.
• Ensure adherence to Indian regulations including Companies Act, FEMA, GST, Income Tax, and other applicable laws relevant to defence and technology sectors.
• Oversee accounting operations, including bookkeeping, month-end and year-end close, and preparation of financial statements.
• Ensure financial reporting complies with Ind AS / Indian GAAP and Shield AI's global accounting policies.
• Act as the primary finance interface for external auditors, consultants, and regulatory authorities.
• Coordinate closely with Shield AI's central and global finance teams to ensure consistency in accounting treatment, controls, and reporting.
• Review financial statements, schedules, and reports for accuracy, completeness, and timeliness.
• Support internal control frameworks, risk mitigation efforts, and process improvements.
• Provide strategic finance insights on compliance risks, regulatory implications, and financial matters impacting India operations.
• Work effectively with global stakeholders across multiple time zones, ensuring smooth cross-border finance coordination.

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This is a hands-on role at the intersection of content development, knowledge management, product education, and enablement operations. You'll create, publish, and improve content in our Academy, making sure customers and internal teams can find the right answer, learn the right workflow, and move forward with confidence.

Key Responsibilities:

• Own Academy publishing and learner flow
• Create, publish, and maintain customer-facing Academy content, modules, paths, and supporting learning experiences
• Ensure Academy content is structured clearly, tagged correctly, QA'd thoroughly, and published with a consistently high quality bar
• Improve learner flow and findability through better naming, placement, sequencing, navigation, and cross-linking within the Academy

• Build high-quality learning content
• Translate product workflows, feature changes, and customer use cases into clear, accurate, engaging Academy content
• Create learning assets across formats, including written guidance, modules, video, demos, and supporting multimedia
• Tailor content to different audiences and use cases while keeping the experience clear, practical, and easy to apply

• Make the Academy the front door to learning
• Ensure Academy pathways surface the right supporting resources from across the wider enablement ecosystem
• Use thoughtful cross-linking and content design to connect learners to the most relevant knowledge base, in-app, or other supporting resources when needed, without making the Academy feel fragmented or duplicative

• Maintain content quality and hygiene
• Run strong QA before publish, including metadata, links, learner flow, structure, and accuracy checks
• Keep Academy content current through refreshes, version control, update logs, and proactive identification of stale or conflicting material

• Iterate based on feedback and signals
• Track learner feedback and basic performance signals to identify where Academy content or structure can improve
• Ship small, evidence-led improvements and document what changed and why

• Partner across teams
• Work closely with Product, Customer Success, Support, Revenue Enablement, SMEs, and other cross-functional partners to keep content aligned with the product and with real user needs

• Use AI and product fluency as a force multiplier
• Become a true Synthesia power user who can build, test, demo, and explain core workflows with confidence
• Use AI tools thoughtfully to accelerate drafting, structuring, and iteration while maintaining a high quality bar and verifying outputs carefully

Requirements:

• Experience creating customer-facing learning, enablement, or product education content
• Experience publishing and maintaining content in an LMS or Academy environment
• Strong writing and information design skills, with the ability to simplify complex workflows clearly
• Strong QA habits and attention to detail across links, metadata, structure, and learner flow
• Experience working cross-functionally with Product, Support, Customer Success, and SMEs
• A data-informed approach to iteration, using feedback and simple signals to improve what you ship

Nice-to-Haves:

• Experience in B2B SaaS, customer education, or scaled self-serve enablement
• Experience working across Academy, help center, and in-app education surfaces
• Familiarity with taxonomy, content audits, or information architecture
• Experience using Synthesia or other AI-powered content creation tools
• Experience supporting webinars, live sessions, or virtual facilitation
• Additional proficient language skills are a plus in French/German/Spanish

Why Join Synthesia:

• Help customers go beyond quick answers
• Build with craft, autonomy, and influence
• Raise the bar on quality
• Join a team building for the future of work

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.

This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between "doing the work" and "leading the work" , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.

You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.

You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework.

You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs.

You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.

You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.

As a PE, you balance individual risk and compliance contribution with team leadership.

You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.

You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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About the Team

At OpenAI, our User Operations team safeguards our products and users from abuse, fraud, and safety risks. We serve as part of the company’s frontline safety infrastructure—helping ensure real-world user experiences translate into timely, high-integrity decisions and durable improvements. We operate at the intersection of operations, user trust, and risk management, collaborating cross-functionally with partners across Legal, Policy, Engineering, and Product, as well as external vendors.

About the Role

We are seeking a sharp, adaptive, and technically capable Operations Analyst to help scale and evolve our user safety and risk operations—focused on complex, time-critical issues where the right decision can materially change outcomes for users and the business.

In this role, you’ll sit on the frontline of user safety: detecting and assessing high-impact risks that surface in real-world product usage and driving them to resolution alongside teams across the company. You’ll turn messy, ambiguous signals into clear actions—improving how we respond in the moment while also strengthening the systems (processes, documentation, and automation) that make consistent, high-quality decisions possible at scale. This is a high-autonomy role with visible impact: you’ll own workstreams end-to-end and measure success through faster response, higher quality outcomes, and reduced risk.

Location / work model: London (hybrid, 3 days/week in-office).

_Please note: This role may involve exposure to sensitive or concerning content. Strong discretion, good judgment, and resilience are essential._

In This Role, You Will

• Triage and resolve complex, high-sensitivity user issues and escalations, including trust & safety incidents and other time-critical risk reviews.

• Conduct risk evaluations and investigations using internal tooling, operational documentation, and appropriate external sources when relevant.

• Serve as an incident manager for sensitive reviews requiring nuanced interpretation, clear decision-making, and strong cross-functional coordination.

• Partner with stakeholders across Legal, Policy, Product, Engineering, and Support to drive fast, defensible outcomes—and ensure lessons learned translate into improvements to user experience, policy interpretation, and safety operations.

• Design and improve operational workflows (intake, triage, escalation pathways, QA, training, and governance) with a strong focus on consistency, scalability, and auditability.

• Build and maintain playbooks, decision trees, knowledge articles, and macros, and continuously refine them based on new learnings.

• Take an automation-first approach: identify repetitive work, redesign the workflow, and prototype automation using AI tools, no-code platforms, or lightweight scripting (in partnership with technical counterparts as needed).

• Monitor operational health through quality audits, SLA tracking, escalation accuracy, and trend analysis, and propose interventions grounded in clear metrics.

• Contribute to vendor enablement and governance, including training, calibration, and process improvements—especially during transitions or ramp periods.

You Might Thrive in This Role If You

• Have 5+ years of experience in trust & safety, risk operations, investigations, incident response, or comparable high-judgment operational work in a fast-moving environment.

• Are highly technical for an ops role: strong analytical skills (e.g., SQL), comfortable working with data tooling/dashboards, and able to translate insights into operational changes.

• Can operationalize ambiguous risk signals into structured inputs for classifier/detection development—including taxonomy design, labeling guidance and quality standards, and feedback loops that improve performance over time (in collaboration with technical stakeholders).

• Operate with high standards and high conviction: you can form clear, defensible points of view, communicate them crisply, and drive decisions to closure.

• Default to systems thinking: you routinely turn one-off fixes into repeatable processes, and you measure impact (time saved, accuracy improved, risk reduced).

• Are AI-fluent and know how to apply model/agent tooling in real workflows—while maintaining strong QA discipline and appropriate safeguards.

• Communicate clearly and effectively—especially in writing—when dealing with sensitive topics and complex tradeoffs.

• Thrive in ambiguity, manage multiple priorities simultaneously, and stay effective as context changes.

Nice to Have

• Experience building QA programs, calibrations, sampling plans, or standardized review practices for sensitive workflows.

• Experience working with scaled vendor operations and governance models.

• Familiarity with building lightweight automation (scripts, no-code tools, workflow automation) in operational contexts.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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