
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - United States"), this listing's salary midpoint is about 149% higher. The offer sits above the benchmark range (€1,667–€20,050). The listed pay band (€22,916–€31,250) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 7 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Engineering Manager | €7,689/per month | €12,059/per month | €15,012/per month |
| All roles in Remote - United States | €1,667/per month | €11,003/per month | €20,050/per month |
| From job ad (Senior) | €22,916/per month | €27,083/per month | €31,250/per month |
About the Team: To support our growth, we are looking for a Senior Engineering Manager to lead the AI Platform team. This group builds and operates our core AI Gateway, serving as the critical high-throughput highway for all Large Language Model (LLM) traffic across the entire AlphaSense ecosystem. About the Role: This leader will bring deep experience running high-performance teams, a strong background in distributed system architecture, and hands-on familiarity with multi-vendor integrations. Superior communication and strategic collaboration skills are critical for managing expectations and aligning stakeholders across the entire R&D organization. Who You Are: - Proven Engineering Leadership: Strong track record of managing and growing high-performing teams of senior and staff engineers, with a passion for developing technical leaders and aligning engineering objectives with business strategy. - Enterprise Scale Experience: Seasoned background in designing, building, and operating high-throughput, low-latency distributed systems (specifically handling complex routing, caching, queueing, or rate limiting). - Technical Thought Leadership: Ability to deeply engage in high-level architectural discussions, provide constructive technical direction, and deliver high-impact feedback during architectural reviews. - Strategic Communication: Exceptional communication and partnership skills to align diverse engineering, product, and executive partners across the R&D organization. - Modern Tooling & AI-First Mindset: Active embrace of AI tools in developer workflows, with an expectation for the team to leverage AI in their toolchains to maximize engineering velocity. Relevant Tech Stack Experience (Nice to Have): - Experience in the applied AI space or working with frameworks and tools such as LangChain, LangGraph, LiteLLM, or OpenRouter. - Experience with orchestrators and proxies like Temporal, Envoy, or similar enterprise-grade gateway technologies. - Experience with Python, Java, and highly distributed caching/queueing systems. What You’ll Do: - Strategic Team Leadership: Manage, mentor, and grow a highly talented team of up to 10 senior and staff software engineers (mostly distributed across North America). Foster a high-performance culture of technical excellence, predictable delivery, and career growth. - High-Scale Operations & Scaling: Own the strategy and architecture of our enterprise AI Gateway - currently processing up to 1 Trillion LLM tokens per week with a projected 10x growth surge driven by agentic workflows (such as SuperAnalyst) - while ensuring high availability, sub-millisecond routing, caching, queueing, and robust fallback mechanisms. - Multi-Vendor Orchestration: Strategically guide the integration, evaluation, and management of 6+ major LLM vendors and 50+ distinct models, optimizing for latency, cost, and reliability across different providers. - Cross-Functional Alignment: Partner closely with product management, AI research teams, and executive engineering leads to align the gateway's roadmap with core product features and organizational goals. - Technical Governance: Define and champion software engineering best practices, architectural standards, and token-based cost-tracking telemetry across the AI Platform organization.
Job Details
Responsibilities
- Manage, mentor, and grow a team of up to 10 senior and staff software engineers
- Own the strategy and architecture of the enterprise AI Gateway processing up to 1 Trillion LLM tokens per week
- Guide the integration and management of 6+ major LLM vendors and 50+ distinct models
- Partner with product management, AI research teams, and executive engineering leads to align the roadmap
- Define and champion software engineering best practices and architectural standards
Requirements
- Proven track record of managing and growing high-performing teams of senior and staff engineers
- Experience designing, building, and operating high-throughput, low-latency distributed systems
- Expertise in complex routing, caching, queueing, or rate limiting
- Ability to provide technical direction and high-impact feedback during architectural reviews
- Exceptional communication and partnership skills to align diverse stakeholders across R&D
- Active embrace of AI tools in developer workflows
Skills & Technologies
Benefits & Perks

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