Lead Safety Engineer Jobs

About Team & About Role: Rubrik is looking for a Sales Executive with deep experience in agentic technologies to lead revenue generation for our new product incubation team, RubrikX. As GTM Sales Lead, you will own product line revenue targets by driving the corporate go-to-market strategy and leading key account sales activities. You will evangelize, position, and close deals for Rubrik Agent Cloud—the industry's leading agentic AI governance and security platform—across a mix of enterprise and strategic customers throughout North America. What You'll Do: Provide sales leadership and direction to Rubrik sales teams developing and positioning Rubrik's Agentic offerings. Serve as a trusted business advisor to customers and act as the agentic AI go-to-market expert when positioning Rubrik's cloud capabilities to key accounts. Lead sales calls and executive conversations, gather and analyze customer feedback, and identify market trends. Qualify and manage sales opportunities regarding budget, decision-making process, competition, and timeline, driving deals to close. Maintain a consistent cadence with product management to ensure the roadmap aligns with customer demand and market feedback. Help develop marketing and sales collateral to ensure messaging aligns with customer needs and market positioning. Deliver sales enablement to Rubrik, channel, and alliance partner sales teams. Cross-functionally drive adoption of Rubrik Agent Cloud throughout Rubrik and the broader agentic AI ecosystem. Preferred Qualifications: 5+ years of quota-carrying sales experience with a proven track record of exceeding revenue targets. Additional preference for experience selling AI, Cloud, Security technologies that focus on observability and /or governance. Driven and desirous of success, highly energetic, with a strong hands-on, "can do" approach. Fundamental business and market knowledge of large language models, agentic AI, and agent builder technologies, sufficient to sell into te

(FEQ427R369) As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Retail and Consumer Packaged Goods sectors. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be a skilled communicator with experience addressing complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. You will report to the Director, Field Engineering. The impact you will have: Manage hiring, onboarding and building your Pre-Sales Solutions Architect team Where required, rapidly scale the designated team without sacrificing quality Comfortable leading by example by using AI to improve day-to-day workflows to scale the team output Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles Promote a solution and value-based selling field-engineering organisation Display an understanding of business needs and revenue potential for accounts in the assigned region Build Databricks' brand in UK&I in partnership with the Marketing and Sales team Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions Help Databricks continue to expand by inspiring our customers as we evolve our processes to support our business and technical growth What we look for: Have AI native builder mentalit

Role Description As the Head of Sales Compensation & Planning within the Customer Strategy & Operations (CSO) organization, you will define and lead Dropbox's global sales compensation, quota strategy, and incentive planning framework. You will be responsible for shaping the philosophy, governance, and execution of compensation programs that drive revenue growth, profitability, and seller productivity across multiple routes to market. This leader will partner closely with Executive Sales Leadership, Finance, Accounting, HR, and Strategy to translate business objectives into scalable incentive programs, quota methodologies, and sales planning decisionsthat accelerate performance while ensuring financial discipline. Beyond leading one of Dropbox's most business-critical operational functions, this role will influence how Dropbox motivates its global sales organization, aligns incentives to business strategy, and evolves our go-to-market model over time. The ideal candidate combines deep expertise in sales compensation and planning with strong commercial acumen, executive presence, and the ability to influence senior stakeholders through data-driven recommendations. Reporting to the Head of Revenue Operations, this role will have significant visibility across Dropbox's executive leadership team and serve as a trusted advisor on sales performance, incentive strategy, and organizational planning. Responsibilities Define Dropbox's long-term sales compensation philosophy, quota methodology, and incentive governance aligned to evolving business strategy. Serve as the primary advisor to Executive Sales Leadership, Finance, and CSO leadership on compensation strategy, seller productivity, and annual planning decisions. Influence executive decision-making through data-driven recommendations balancing revenue growth, profitability, customer outcomes, and employee motivation. Evaluate market trends and emerging GTM models to continuously evolve Dropbox's compensation and

Role Description As the Head of Sales Compensation & Planning within the Customer Strategy & Operations (CSO) organization, you will define and lead Dropbox's global sales compensation, quota strategy, and incentive planning framework. You will be responsible for shaping the philosophy, governance, and execution of compensation programs that drive revenue growth, profitability, and seller productivity across multiple routes to market. This leader will partner closely with Executive Sales Leadership, Finance, Accounting, HR, and Strategy to translate business objectives into scalable incentive programs, quota methodologies, and sales planning decisionsthat accelerate performance while ensuring financial discipline. Beyond leading one of Dropbox's most business-critical operational functions, this role will influence how Dropbox motivates its global sales organization, aligns incentives to business strategy, and evolves our go-to-market model over time. The ideal candidate combines deep expertise in sales compensation and planning with strong commercial acumen, executive presence, and the ability to influence senior stakeholders through data-driven recommendations. Reporting to the Head of Revenue Operations, this role will have significant visibility across Dropbox's executive leadership team and serve as a trusted advisor on sales performance, incentive strategy, and organizational planning. Responsibilities Define Dropbox's long-term sales compensation philosophy, quota methodology, and incentive governance aligned to evolving business strategy. Serve as the primary advisor to Executive Sales Leadership, Finance, and CSO leadership on compensation strategy, seller productivity, and annual planning decisions. Influence executive decision-making through data-driven recommendations balancing revenue growth, profitability, customer outcomes, and employee motivation. Evaluate market trends and emerging GTM models to continuously evolve Dropbox's compensation and

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform. Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations. Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency. Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products. Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions. Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence. Who You Are: You have experience designing and building large-scale SaaS or cloud platforms with deep expertise i

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform. Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations. Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency. Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products. Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions. Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence. Who You Are: You have experience designing and building large-scale SaaS or cloud platforms with deep expertise i

RDQ227R1178 As a Staff Technical Program Manager within the Security Assurance Team, you will help lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives. You will navigate a complex, cloud-native landscape, collaborating with Security, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard our customers. This role requires an active Top Secret Clearance, the ability to access and work within a SCIF environment, and residence within the Washington, DC metropolitan area. The impact you will have: Drive Project Outcomes: Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, federal authorizations, and compliance initiatives that expand Databricks’ reach across regulated and government markets. Accelerate Execution: Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment. Orchestrate Cross-Functional Decision Making: Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, Product, and Security teams to reach timely resolutions. Optimize Delivery Methodologies: Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile. Precision Program Management: Masterfully oversee project lifecycles—including milestones, dependencies, and risk mitigation—while providing executive-level transparency through accurate status reporting. Build Strategic Partnerships: Forge deep, collaborative relationships with Security Assurance Team subject matter experts and te

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

About Pi Commerce: Pi Commerce is an AI-powered marketing platform that enables small businesses to acquire new customers by running Facebook and Instagram advertising campaigns. The AI automatically creates: Advertisement creatives Ad copies Audience targeting Campaign setup The merchant simply reviews and approves the campaign, making digital marketing easy even for non-technical business owners. What You'll Do Connect with Paytm's existing merchant base over calls. Understand the merchant's business and marketing requirements. Explain how Pi Commerce helps generate new customers. Conduct online product demonstrations through screen sharing. Resolve customer queries and handle objections confidently. Follow up with interested merchants via calls and WhatsApp. Update lead status, demos, and sales progress in CRM. Meet daily, weekly, and monthly sales and activation targets. Share customer feedback to help improve the product. Who Should Apply? We're looking for candidates with: 6 months to 3 years of experience in: Telesales Inside Sales Digital Marketing Sales Ad Sales SMB Sales Preferred Experience Candidates who have sold: Facebook Ads Instagram Ads Meta Ads Digital Marketing Packages Lead Generation Services

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As the Data Center Operations Manager, you’ll oversee the data center technicians who keep SpaceXSI's AI infrastructure running smoothly. This role is pivotal in ensuring our systems operate at peak efficiency, supporting the compute power behind our mission. You’ll co-lead a skilled team, manage critical operations, and implement smart, sustainable solutions. We’re looking for someone with technical expertise and a proactive approach to maintain and scale our facilities effectively. RESPONSIBILITIES: Oversee Site Operations: Manage power, cooling, networking, and hardware deployments to ensure 99.999% uptime for SpaceXSI's AI compute systems, keeping our infrastructure reliable and ready for innovation. Guide Your Team: Lead and develop a team of Data Center Operations Technicians through training, performance evaluations, and fostering a collaborative, high-performing environment tied to SpaceXSI's objectives. Streamline Processes: Take charge of hardware lifecycles, incident resolution, and inventory management, refining procedures to ensure your team operates with precision and consistency. Connect Key Players: Coordinate between technicians, SpaceXSI'

Job Description: Data Scientist, B2B Demand Generation, Growth & Measurement About the Role We are hiring a Data Scientist to lead measurement, experimentation, and decision science for B2B marketing demand generation. You will help us understand which marketing investments create incremental demand, qualified pipeline, and revenue and how to scale them efficiently. Our mandate is to build a rigorous, full-funnel view of how B2B marketing creates demand and moves prospects from awareness and engagement to qualified opportunities, closed-won revenue, and expansion. You will shape how we measure marketing impact and influence across channels, campaigns, audiences, and account segments. In this role, you will partner closely with B2B Marketing, Demand Generation, Growth, Sales, RevOps, Finance to connect marketing activity to qualified pipeline, customer acquisition, and efficient revenue growth. What You’ll Do Define north-star, leading, and guardrail metrics for B2B demand generation, including account engagement, qualified leads and opportunities, sourced and influenced pipeline, conversion rates, pipeline velocity, and incremental ARR. Design and execute measurement and experimentation strategies across channels and campaigns, using randomized tests, audience or geographic holdouts, lift studies, quasi-experimental methods, and other causal approaches suited to long B2B sales cycles. Analyze channel, audience, campaign, creative, content, landing-page, and account-segment performance to identify the drivers of qualified demand, funnel conversion, pipeline quality, and incremental revenue. Partner with Marketing, Sales, RevOps, Finance, Product, and Engineering to improve instrumentation, campaign taxonomy, CRM data quality, lead-to-account matching, and the operating cadence for acting on measurement insights. Build AI-native measurement and decision-support workflows, using LLMs and agents to synthesize campaign performance, surface growth opportunities, and h

Managing Principal Consultant – General Insurance Location: London (Hybrid) | Practice Area: Insurance, Business Consulting | Type: Permanent Lead strategic change across the UK General Insurance landscape. The Role We are looking for a Managing Principal Consultant with deep General Insurance expertise to support and deliver high-impact projects for our UK clients. This role blends strategic leadership, delivery, and hands-on consulting across digital transformation, data, regulatory change, and AI-enabled business transformation. You'll collaborate closely with clients and internal teams to align business and technology priorities while helping expand Capco's insurance consulting practice. You'll also encourage the responsible use of approved AI tools and AI-enabled workflows to improve delivery quality, accelerate insight, and enhance client outcomes, applying appropriate human judgement and governance throughout. What You'll Do Deliver complex change and transformation programmes across the General Insurance sector, using AI-enabled approaches where appropriate to improve efficiency, insight, and delivery quality. Support initiatives across digital transformation, data, regulatory change, AI, and agile ways of working. Engage senior client stakeholders, coordinate multidisciplinary teams, and ensure successful value delivery, embedding responsible AI practices and appropriate governance throughout delivery. Support business development activities, contributing to client growth and account development, including identifying opportunities where AI can create measurable business value. Build trusted partnerships with clients, vendors, and internal stakeholders across business and technology domains, encouraging practical adoption of AI-enabled ways of working aligned to client objectives. What We're Looking For Proven experience of consultancy within the General Insurance sector. Strong track record delivering large-scale transformation programmes and comple

Salary Range: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role. About the job Help make Graphcore’s AI accelerators feel native inside modern Kubernetes environments. As a Senior Cloud Software Engineer, you will lead software that enables new AI accelerator hardware within Kubernetes. You will build Go applications that make complex hardware simple to deploy, manage and operate. Your work will help engineering teams integrate new hardware into existing clusters with a smooth Kubernetes experience. You will shape how users interact with Graphcore technology in cloud-native environments. You will design, build, test and maintain production-quality software, while guiding engineers through complex technical decisions. You will also help strengthen documentation, code quality and delivery standards. This role sits close to hardware, orchestration and cloud infrastructure. It offers rare ownership over software that connects AI compute with the systems used to run it. The team and culture You will work with engineers across cloud software, hardware, platform and infrastructure. The team turns complex integration problems into practical software that users can trust. Work happens through clear technical ownership, direct communication and fast feedback. You will be expected to lead by example, mentor others and raise the quality bar. Decisions are guided by evidence, engineering judgement and open discussion. You will have space to speak up, take responsibility and move important work forward. What we’re looking for Strong experience in software development, ideally with cloud environments or infrastructure platforms Proficiency in Go, with the ability to design, build and maintain reliable applications Deep Kubernetes experience, including container orchestration and cloud-native development Strong Linux knowledge and confidence troubleshooting complex technical issues A track record of delivering complex technical solutions and

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors. Role Overview We're hiring a Tech Lead for our Hedging team — the team that owns the risk OpenFX carries. Hedging owns inventory and exposure management, risk management, hedging positions across venues through smart routing strategies, market making, Cost, PnL and net revenue calculation. Every trade a client places creates exposure, and this team decides what we hold, what we hedge, where we hedge it, and what it costs us. This is a hands-on technical leadership role, not a management role. You will not own headcount, performance reviews, or hiring decisions. What you own is the technical direction, quality bar, and execution coherence of the Hedging team's work — the Risk Management Engine, Smart Hedging, and the position and PnL layer underneath them. You and the Engineering Manager operate as a closely coordinated pair: the EM owns the people, the process, and the delivery plan; you own how the work is designed, how quality is held, and how technical decisions get made day to day. You should expect to write code. The strongest Team Leads here lead through design, review and judgment, but their credibility comes from building. We're specifically looking for someone with a trading background — you've led or built systems where a position had to be accurate and a hedge had to fire in time, and where a bug meant real money. Think a crypto exchange, brokerage, or trading platform (CoinDCX, Groww, CoinSwitch Kuber, or similar

Opportunity Overview: We are seeking a Senior Integration Analyst to join our Integration Services team. In this role, you will lead the technical analysis and design of complex healthcare interoperability solutions that enable seamless integration between the Cohere platform and payer, provider, and third-party systems. You'll partner closely with Product, Engineering, Clinical, Analytics, and external stakeholders to deliver scalable, reliable integrations that improve the patient and provider experience. This is an opportunity to work with cutting-edge healthcare technology, solve complex interoperability challenges, and directly influence the evolution of Cohere's integration platform while contributing to better patient outcomes. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Serve as a subject-matter expert for healthcare interoperability and payer prior authorization integrations, leading the analysis and definition of data exchanges between the Cohere platform and payer, provider, and third-party systems Lead client-facing integration discovery and requirements-gathering sessions, translating complex payer and provider workflows into clear technical specifications Design scalable, reusable integration workflows using APIs, HL7 FHIR, HL7 v2, X12 EDI, SFTP, flat files, and other data-exchange methods Produce source-to-target mappings, interface specifications, data-flow diagrams, field definitions, validation rules, and error-handling requirements Manage integration analysis across up to three concurrent client initiatives, tracking risks, dependencies, decisions, and open issues Investigate integration failures and coordinate root-cause analysis across technical teams; review payloads, files, logs, and system behavior to resolve data-quality issues Develop test scenarios and support unit, integration, end-to-end, regression, and producti