Key Responsibilities:

• Take ownership of project priorities, deadlines and deliverables using Agile methodologies, with clear outcomes around reliability automation and AI-enabled operations
• Understand and refine business and functional requirements, translating them into SLOs/SLIs and AI-assisted observability and support capabilities
• Hands on approach to getting work done,this role requires a “roll your sleeves up” mentality, including building and operationalizing reliability tooling and automation that measurably reduces toil and improves stability
• Be a leader with vision and a partner in brainstorming solutions for team productivity and efficiency to improve engineering effectiveness
• Drive priority setting of the engineering teams, balancing foundational reliability work with delivery of new product features
• Improve Engineering culture by encouraging continuous focus on reliability across the entire application lifecycle, and by adopting AI-enabled SRE practices (e.g., intelligent alerting, automated diagnosis, and self-healing where appropriate)
• Proactive participant in architectural and design decisions, including AI-ready telemetry, data quality, and model integration patterns for operational analytics
• Design and implement end-to-end monitoring solutions for application and infrastructure components, leveraging modern observability platforms plus AI/ML techniques for anomaly detection, correlation, and alert noise reduction
• Drive the engineering of capacity management and demand forecasting solutions, including predictive analytics/ML approaches where they add measurable value
• Act as a culture carrier and leader, passing on SRE knowledge and best practices to the engineering team
• Drive detailed root cause investigations for production incidents with rigorous focus on issue avoidance, using AI-assisted correlation/analysis to accelerate time-to-insight
• Create/coordinate retros for significant incidents, ensuring learnings are captured in automated/AI-assisted runbooks and embedded into prevention mechanisms
• Additional core engineering functions, such as adding custom telemetry metrics/logs/traces to the code base of in-scope applications to enable AI/ML-driven operational insights
• Anticipate new opportunities to continuously evolve the resiliency profile of scoped applications and infrastructure

Requirements:

• B.S. / M.S. degree in Computer Science, Engineering or a related discipline with 10+ years of experience
• Experience leading high performing engineering/SRE teams, with a track record of driving continuous improvement through automation and AI-enabled operations
• Demonstrated ability to represent engineering/SRE priorities, status, and risk to senior leadership stakeholders with clear, executive-ready communication
• Hands-on experience building or operating AI-assisted capabilities (AIOps, ML-based anomaly detection, or GenAI workflows) in an engineering/production environment
• A passion for providing engineering support for highly available, performant full stack applications with a “Student of Technology” attitude
• Experience with relational database and NoSQL Database (e.g. Redis, Apache Cassandra)

Benefits:

• Retirement investment and tools designed to help you in building a sound financial future
• Access to education reimbursement
• Comprehensive resources to support your physical health and emotional well-being
• Family support programs
• Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about

Hybrid Work Model:

• BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all
• Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week
• Some business groups may require more time in the office due to their roles and responsibilities
• We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation

About BlackRock:

• At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being
• Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses
• Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress

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Responsibilities:

• Lead, coach, and develop a team of 5-10 Startup Growth AEs, providing regular feedback and guidance to drive both individual and team performance
• Own team revenue targets, developing strategies to accelerate growth
• Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring
• Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio
• Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts
• Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications
• Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics
• Participate in strategic customer conversations and support Growth AEs in complex negotiations

You may be a good fit if you have:

• 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams
• Proven track record of consistently exceeding team revenue targets and developing high-performing account executives
• Strong understanding of the startup ecosystem and experience working with high-growth technology companies
• Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment
• Strong analytical and problem-solving skills with a data-driven approach to decision making
• Excellence in cross-functional collaboration and stakeholder management
• Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions
• Demonstrated ability to coach and develop talent while maintaining high performance standards

The annual compensation range for this role is €255,000 - €300,000EUR.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.
• Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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