About the Role: 

We are seeking a highly experienced and results-oriented Staff Technical Program Manager (TPM) to drive AI-first engineering excellence efforts. Our mission is to improve engineering velocity, and you will act as a force multiplier on mission-critical, large, complex initiatives with a focus on AI enablement. In this role, you will be driving the technical roadmap that transforms how our engineering teams build software through AI-assisted workflows. This high-impact role requires a deep understanding of infrastructure, developer productivity, and the evolving landscape of AI tooling.

What you´ll do

• Lead the end-to-end program management for Engineering Excellence / AI readiness / AI DLC rollout projects.
• Integrate Claude Code and other AI-native development tools and skills management into existing engineering workflows for measurable productivity gains.
• Support Engineering Platform teams in efforts to modernize CI/CD pipelines, enabling automated AI-driven testing, code reviews, and deployment orchestration.
• Drive technical strategy and alignment across Engineering, Security, and Product leadership to address the unique challenges of AI-generated code and agentic autonomy.
• Align roadmaps across multiple teams and domains to roll out AI advances.
• Mentor other TPMs and engineers, raising the collective technical bar for AI-integrated program management across the organization.
• Solve problems, improve processes, remove bottlenecks, share updates - all the TPM bread and butter, AI-assisted (by you!) to be made as simple as possible, but not simpler.

Who You Are 

• Bachelor's degree or above in Computer Engineering, Computer Science, or a related technical field. You are an engineer or scientist by training.
• 10+ years of experience in technical program management or software engineering leadership. You are a manager by earned experience.
  Software development background with programming language proficiency and the ability to participate in architectural reviews. You are still a developer at heart.
• Extensive experience with AI-assisted development tools (e.g., Claude Code) and a strong understanding of LLM capabilities. You are hands-on.
• Expert-level knowledge of CI/CD methodologies, infrastructure-as-code, and cloud-native development environments. You automate at scale.
• Proven track record of leading large-scale, complex technical rollouts across multiple business units. You deliver.

About the Role: 

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do: 

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

Role Summary: 

AlphaSense is seeking multiple skilled transcript editors to join our team and contribute to the seamless conversion of recorded events (interviews, webcasts, phone calls, etc.), into accurate and organized transcripts for use by AlphaSense’s clients. The ideal candidate will possess exceptional listening skills, solid English grammar skills, the ability to work quickly and efficiently while delivering a high quality product, and strong attention to detail. The role principally entails editing transcripts to match audio files verbatim, correctly identifying speaker names, product names, and numbers, as well as correcting grammar and punctuation, all within tight turnaround times. 

Roles &  Responsibilities:

• Review, edit, and proofread transcripts for accuracy, clarity, and adherence to company standards and format.
• Identify and correct errors, including grammar, punctuation, spelling, formatting issues, and speaker and product identification.
• Ensure transcripts are contextually accurate and reflect industry-specific terminology when applicable, using in house custom dictionaries, or independent internet searches as required.
• Organize, format, and deliver transcripts in the required format and within set deadlines.
• Maintain confidentiality and handle sensitive content with discretion.
• Maintain steady focus to achieve best possible turnaround times.

Candidate Requirements:

• The ideal candidate will have proven experience in transcription, editing, or a related field.
• Strong listening skills and the ability to understand different accents, and audio qualities.
• Excellent command of the English language, including grammar, syntax, and punctuation.
• Attention to detail and the ability to produce error-free work.
• Proficiency in using text editing and document formatting software (e.g., Microsoft Word, Google Docs).
• Proficiency with other tools such as instant messaging applications, Excel, email, etc.
• Ability to work under tight deadlines and manage multiple editing projects at once.
• Familiarity with AI transcription tools would be a plus.
• Broad financial literacy and a general understanding of financial market concepts would be a plus. 
• Knowledge of specific industries and companies (e.g., finance, tech, medical, biotech) and their terminologies would be a plus.

Preferred Skills:

• Experience with transcription and/or editing calls, webcasts, or medical reports on a short timeline.
• Experience with CK Editor or other editing software would be a plus but is not required.

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

We are seeking a Staff Software Engineer to lead the design, evolution, and reliability of our global financial data extraction and normalization platform. This system ingests filings across formats (HTML, PDF, APIs, spreadsheets), extracts and standardizes financial data using a combination of AI and deterministic systems, and delivers trusted, traceable outputs at scale to downstream financial services teams and customers.

This role owns the self-sourcing and extraction foundation used by multiple teams across the organization. Today, human validation is used as a safety net. Your mission is to systematically reduce human dependency by increasing system correctness, confidence, and trust, without sacrificing speed or scalability.

You will operate at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture, raising the technical bar and reshaping how we build reliable systems.

Who You Are:

• 10+ years of experience building and operating large-scale production systems
• Proven experience designing data ingestion, extraction, or processing systems at scale
• Deep expertise in one or more of:
  • Distributed systems
  • Data platforms and pipelines
  • AI/ML-powered extraction or classification systems
  • Platform or infrastructure engineering
• Demonstrated ability to design trustworthy systems that combine probabilistic (AI) and deterministic approaches
• Strong understanding of system reliability, observability, failure modes, and iterative hardening
• Experience reducing operational or human overhead through better system design
• Track record of technical leadership across teams without formal people management
• Comfortable operating in ambiguity and driving clarity where none exists
• Passion for using AI responsibly and effectively to deliver scalable, high-confidence systems

Nice to Have

• Experience with document understanding, NLP, or financial data extraction
• Experience building provenance, lineage, or confidence-scoring systems
• Familiarity with cloud-native architectures and modern data stacks
• Experience shaping or owning internal platforms used by multiple teams

What You’ll Do: 

• Own the architecture and evolution of our large-scale data extraction and normalization platform
• Design systems that process hundreds of thousands of records across heterogeneous sources (PDF, HTML, APIs, XLS) with high reliability
• Define and implement strategies to minimize human-in-the-loop validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards
• Establish clear system contracts for correctness, traceability, and confidence (e.g., “where did this number come from?”)
• Balance AI-driven approaches with procedural and rules-based systems where they improve reliability and explainabilityIdentify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity
• Act as the technical authority to block poor designs, redesign critical systems, and introduce new platforms or tooling when necessary
• Partner with product and downstream consumers to define quality bars, SLAs, and success metrics
• Serve as a technical escalation point for production issues, reliability failures, and systemic risks
• Mentor senior engineers, shape technical culture, and raise expectations for system design and execution
• Contribute to long-term technical strategy while remaining hands-on with critical implementations

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

We are seeking a Principal Engineer to lead the design, evolution, and reliability of our global financial data extraction and normalization platform. This system ingests filings across formats (HTML, PDF, APIs, spreadsheets), extracts and standardizes financial data using a combination of AI and deterministic systems, and delivers trusted, traceable outputs at scale to downstream financial services teams and customers.

This role owns the self-sourcing and extraction foundation used by multiple teams across the organization. Today, human validation is used as a safety net. Your mission is to systematically reduce human dependency by increasing system correctness, confidence, and trust, without sacrificing speed or scalability.

You will operate at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture, raising the technical bar and reshaping how we build reliable systems.

Who You Are:

• 15+ years of experience building and operating large-scale production systems
• Proven experience designing data ingestion, extraction, or processing systems at scale
• Deep expertise in one or more of:
  • Distributed systems
  • Data platforms and pipelines
  • AI/ML-powered extraction or classification systems
  • Platform or infrastructure engineering
• Demonstrated ability to design trustworthy systems that combine probabilistic (AI) and deterministic approaches
• Strong understanding of system reliability, observability, failure modes, and iterative hardening
• Experience reducing operational or human overhead through better system design
• Track record of technical leadership across teams without formal people management
• Comfortable operating in ambiguity and driving clarity where none exists
• Passion for using AI responsibly and effectively to deliver scalable, high-confidence systems
• Nice to Have
  • Experience with document understanding, NLP, or financial data extraction
  • Experience building provenance, lineage, or confidence-scoring systems
  • Familiarity with cloud-native architectures and modern data stacks
  • Experience shaping or owning internal platforms used by multiple teams

What You’ll Do: 

• Own the architecture and evolution of our large-scale data extraction and normalization platform
• Design systems that process hundreds of thousands of records across heterogeneous sources (PDF, HTML, APIs, XLS) with high reliability
• Define and implement strategies to minimize human-in-the-loop validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards
• Establish clear system contracts for correctness, traceability, and confidence (e.g., “where did this number come from?”)
• Balance AI-driven approaches with procedural and rules-based systems where they improve reliability and explainabilityIdentify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity
• Act as the technical authority to block poor designs, redesign critical systems, and introduce new platforms or tooling when necessary
• Partner with product and downstream consumers to define quality bars, SLAs, and success metrics
• Serve as a technical escalation point for production issues, reliability failures, and systemic risks
• Mentor senior engineers, shape technical culture, and raise expectations for system design and execution
• Contribute to long-term technical strategy while remaining hands-on with critical implementations

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

We are seeking a Principal Engineer to lead the design, evolution, and reliability of our global financial data extraction and normalization platform. This system ingests filings across formats (HTML, PDF, APIs, spreadsheets), extracts and standardizes financial data using a combination of AI and deterministic systems, and delivers trusted, traceable outputs at scale to downstream financial services teams and customers.

This role owns the self-sourcing and extraction foundation used by multiple teams across the organization. Today, human validation is used as a safety net. Your mission is to systematically reduce human dependency by increasing system correctness, confidence, and trust, without sacrificing speed or scalability.

You will operate at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture, raising the technical bar and reshaping how we build reliable systems.

Who You Are:

• 15+ years of experience building and operating large-scale production systems
• Proven experience designing data ingestion, extraction, or processing systems at scale
• Deep expertise in one or more of:
  • Distributed systems
  • Data platforms and pipelines
  • AI/ML-powered extraction or classification systems
  • Platform or infrastructure engineering
• Demonstrated ability to design trustworthy systems that combine probabilistic (AI) and deterministic approaches
• Strong understanding of system reliability, observability, failure modes, and iterative hardening
• Experience reducing operational or human overhead through better system design
• Track record of technical leadership across teams without formal people management
• Comfortable operating in ambiguity and driving clarity where none exists
• Passion for using AI responsibly and effectively to deliver scalable, high-confidence systems
• Nice to Have
  • Experience with document understanding, NLP, or financial data extraction
  • Experience building provenance, lineage, or confidence-scoring systems
  • Familiarity with cloud-native architectures and modern data stacks
  • Experience shaping or owning internal platforms used by multiple teams

What You’ll Do: 

• Own the architecture and evolution of our large-scale data extraction and normalization platform
• Design systems that process hundreds of thousands of records across heterogeneous sources (PDF, HTML, APIs, XLS) with high reliability
• Define and implement strategies to minimize human-in-the-loop validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards
• Establish clear system contracts for correctness, traceability, and confidence (e.g., “where did this number come from?”)
• Balance AI-driven approaches with procedural and rules-based systems where they improve reliability and explainabilityIdentify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity
• Act as the technical authority to block poor designs, redesign critical systems, and introduce new platforms or tooling when necessary
• Partner with product and downstream consumers to define quality bars, SLAs, and success metrics
• Serve as a technical escalation point for production issues, reliability failures, and systemic risks
• Mentor senior engineers, shape technical culture, and raise expectations for system design and execution
• Contribute to long-term technical strategy while remaining hands-on with critical implementations

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

We are seeking a Staff Software Engineer to lead the design, evolution, and reliability of our global financial data extraction and normalization platform. This system ingests filings across formats (HTML, PDF, APIs, spreadsheets), extracts and standardizes financial data using a combination of AI and deterministic systems, and delivers trusted, traceable outputs at scale to downstream financial services teams and customers.

This role owns the self-sourcing and extraction foundation used by multiple teams across the organization. Today, human validation is used as a safety net. Your mission is to systematically reduce human dependency by increasing system correctness, confidence, and trust, without sacrificing speed or scalability.

You will operate at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture, raising the technical bar and reshaping how we build reliable systems.

Who You Are:

• 10+ years of experience building and operating large-scale production systems
• Proven experience designing data ingestion, extraction, or processing systems at scale
• Deep expertise in one or more of:
  • Distributed systems
  • Data platforms and pipelines
  • AI/ML-powered extraction or classification systems
  • Platform or infrastructure engineering
• Demonstrated ability to design trustworthy systems that combine probabilistic (AI) and deterministic approaches
• Strong understanding of system reliability, observability, failure modes, and iterative hardening
• Experience reducing operational or human overhead through better system design
• Track record of technical leadership across teams without formal people management
• Comfortable operating in ambiguity and driving clarity where none exists
• Passion for using AI responsibly and effectively to deliver scalable, high-confidence systems

Nice to Have

• • Experience with document understanding, NLP, or financial data extraction
  • Experience building provenance, lineage, or confidence-scoring systems
  • Familiarity with cloud-native architectures and modern data stacks
  • Experience shaping or owning internal platforms used by multiple teams

What You’ll Do: 

• Own the architecture and evolution of our large-scale data extraction and normalization platform
• Design systems that process hundreds of thousands of records across heterogeneous sources (PDF, HTML, APIs, XLS) with high reliability
• Define and implement strategies to minimize human-in-the-loop validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards
• Establish clear system contracts for correctness, traceability, and confidence (e.g., “where did this number come from?”)
• Balance AI-driven approaches with procedural and rules-based systems where they improve reliability and explainabilityIdentify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity
• Act as the technical authority to block poor designs, redesign critical systems, and introduce new platforms or tooling when necessary
• Partner with product and downstream consumers to define quality bars, SLAs, and success metrics
• Serve as a technical escalation point for production issues, reliability failures, and systemic risks
• Mentor senior engineers, shape technical culture, and raise expectations for system design and execution
• Contribute to long-term technical strategy while remaining hands-on with critical implementations

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

At AlphaSense, GenSearch is a production, customer-facing generative AI system delivering high-confidence answers across multiple domains. Our team owns the financial data agent within GenSearch — connecting AI reasoning to structured financial datasets — as well as the financial data web experiences that power fundamentals, M&A, screening, and other core capabilities.

We are hiring a hands-on Principal Engineer to help us:

• Reduce latency in AI-powered financial answers
• Simplify fragmented and legacy-heavy architecture
• Improve cross-dataset querying and screening
• Ship new datasets and product capabilities without increasing systemic complexity

This role sits at the intersection of AI systems, financial data infrastructure, and product-grade web development.

Who You Are:

• 12+ years building and operating production systems
• Experience operating at a Staff or Principal level
• Proven ability to simplify complex systems and reduce architectural entropy
• Strong background in distributed systems and performance optimization
• Experience building AI-integrated systems (LLM orchestration, tool usage, retrieval, evaluation)
• Comfortable working across backend systems and modern frontend frameworks (e.g., React)
• Experienced designing APIs and durable service contracts
• Effective at driving cross-team technical initiatives

What You’ll Do:

Improve AI & Performance

• Optimize orchestration between LLM workflows, structured datasets, and services
• Introduce performance benchmarks, observability standards, and SLO discipline
• Improve reliability and correctness of AI-backed financial responses

Simplify Architecture

• Reduce fragmentation across datasets and services
• Partner with data platform teams to define scalable dataset integration patterns
• Remove legacy complexity while continuing to ship

Build & Evolve Web Products

• Contribute directly to backend and frontend systems powering financial data experiences
• Define durable contracts between AI-generated outputs and frontend consumers
• Ensure performance and usability at both API and product layers

Lead Across Teams

• Drive technical initiatives spanning multiple engineering teams
• Align stakeholders on service boundaries and system design decisions
• Raise the bar for system design, reliability, and operational rigor

About the Team:

As part of our Search team, you'll own a critical platform that directly impacts how customers discover insights. This isn't just about maintaining a search system – it's about building the next generation of information retrieval at scale. You'll work with modern technologies (including hybrid lexical/vector search), but more importantly, you'll apply your distributed systems expertise to solve fascinating scale challenges.

The best part? You'll join a team of smart engineers who are eager to learn. Your experience in building bulletproof systems will directly elevate the entire team's capabilities.

About the Role: 

AlphaSense is seeking an experienced engineer to work on the search platform that powers market intelligence across billions of documents. You'll tackle the challenge of building distributed systems that handle hundreds of queries per second with millisecond latency, while establishing engineering excellence that ensures reliability for our enterprise customers.

This role is perfect for a seasoned engineer who loves challenges and has a track record of building robust, high-performance systems. While search experience is valuable, we believe great engineers can master new domains – what matters most is your ability to build systems that scale and don't break.

Who You Are:

• 5+ years building and operating distributed systems in production
• Experience with large-scale data platforms or high-throughput systems
• Expertise in distributed systems fundamentals: sharding, replication, consistency, partition tolerance
• Strong performance optimization skills - you can profile, diagnose, and fix bottlenecks across the stack
• Experience with data pipeline architecture, real-time processing, or database internals
• Excellence in building observable systems with comprehensive monitoring and alerting

Preferred:

• Experience with search platforms (Vespa, Elasticsearch, Solr) or similar large-scale data systems
• Experience with Kubernetes, CRDs, and infrastructure as code 
• Background in information retrieval, ranking systems, or recommendation engines
• Familiarity with hybrid search approaches (lexical and vector)
• Experience with JVM-based systems and tuning
• Knowledge of modern engineering practices from high-growth companies

What You’ll Do: 

• Scale Distributed Systems: Architect and optimize infrastructure handling billions of documents and hundreds of queries per second
• Lead Platform Evolution: Drive the migration from legacy systems to modern architecture, ensuring zero downtime and improved performance
• Build Engineering Excellence: Establish comprehensive monitoring, testing, and deployment practices that catch issues before customers do
• Optimize Performance: Profile and tune systems from the infrastructure to the application level, balancing cost and performance

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

Own and evolve AlphaSense’s embedded client platform, starting with Excel, to bring AI‑powered market intelligence directly into the daily workflows of financial professionals. This role is responsible for building mission‑critical integrations inside constrained host environments where performance, correctness, and user trust are non‑negotiable.

Excel and PowerPoint are the first and most important host environments today, but the mandate is broader: define durable client‑side integration patterns that can scale across tools, workflows, and future analyst surfaces.

This is a Staff-level role with significant architectural ownership, deep hands‑on work, and long‑term leverage across the product.

Why this role is important:

Financial professionals live in Excel. One data corruption bug, one performance regression, or one broken enterprise deployment can permanently erode trust. At the same time, Excel is a highly constrained, non‑owned runtime with sharp edges, undocumented behavior, and strict performance ceilings.

We are looking for an engineer who thrives in hostile integration environments, not someone who treats Excel as “just another web view.”

Who You Are:

• 7+ years building and operating production user‑facing software
• Proven experience embedding software into a non‑owned host environment
• Strong JavaScript/TypeScript skills and event‑driven programming experience
• Track record of performance profiling and optimization in constrained runtimes
• Zero‑tolerance mindset for data corruption and reliability issues
• Experience with enterprise deployment, updates, version skew, and rollback
• Strong testing and observability instincts for client‑side systems
• Ability to mentor engineers and set technical standards

Nice to have:

• Built systems where <100ms latency materially impacted user trust
• Experience debugging non‑deterministic, stateful, event‑driven systems
• Background in financial systems, trading tools, or analyst workflows
• Experience with offline‑first architectures and sync
• History of working effectively with enterprise IT and security teams

What You’ll Do: 

Near‑Term (Excel‑Focused)

• Own the architecture and reliability of AlphaSense’s Excel integrations (Office Add‑ins, JS/TS, legacy components)
• Define clear boundaries between workbook state, plugin state, and cloud state
• Ensure zero data corruption and strict Excel file integrity guarantees
• Make complex operations feel instantaneous (<100ms local, <500ms remote)
• Design for offline, slow networks, and enterprise restrictions (proxy, SSO, locked‑down IT)
• Establish testing, observability, and deployment best practices for desktop/embedded environments

Medium‑Term (Platform Leverage)

• Unify fragmented Excel tools into a single, coherent client architecture
• Create reusable abstractions for embedded client development
• Define patterns that reduce Excel‑specific fragility over time
• Mentor other engineers working in constrained client environments

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.

This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.

What You'll Do

• Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
• Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
• Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
• Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
• Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability

What We're Looking For

Required:

• 7+ years building and operating distributed systems in production
• Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
• Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
• Experience leading technical initiatives and mentoring engineering teams
• Strong coding skills with ability to work across the stack
• Excellence in debugging production issues and implementing comprehensive observability
• History of making pragmatic trade-offs between perfect and shipped

Preferred:

• Experience with LLM applications, agent frameworks, or AI/ML infrastructure
• Familiarity with prompt engineering, RAG patterns, vector databases
• Background at high-growth companies or modern engineering cultures
• Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

Impact You'll Have

Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.

This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.

What You'll Do

• Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
• Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
• Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
• Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
• Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability

What We're Looking For

Required:

• 7+ years building and operating distributed systems in production
• Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
• Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
• Experience leading technical initiatives and mentoring engineering teams
• Strong coding skills with ability to work across the stack
• Excellence in debugging production issues and implementing comprehensive observability
• History of making pragmatic trade-offs between perfect and shipped

Preferred:

• Experience with LLM applications, agent frameworks, or AI/ML infrastructure
• Familiarity with prompt engineering, RAG patterns, vector databases
• Background at high-growth companies or modern engineering cultures
• Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

Impact You'll Have

Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.

The Role: 

We’re looking for a Staff Engineer to join the Core Developer Experience (Core DX) team and help make AlphaSense an exceptional environment for building software. In this role, you’ll focus on enabling engineers to work at high velocity, with confidence and flow, by reducing friction and improving the speed and quality of feedback in local development. You’ll design and evolve the tools, environments, and workflows that support fast, reliable iteration for ~400 engineers globally.

Core DX owns the inner loop of development, the day-to-day experience of writing, building, and testing code, along with the internal developer platform, self-service tooling, and developer productivity insights that support it. This is distinct from Cloud Platform DX (outer loop), which owns CI/CD and production infrastructure. You’ll work closely with Cloud DX to ensure a seamless SDLC experience from local development to production, while staying focused on the developer-facing side of that journey.

A key part of this role is embedding AI into the SDLC in a way that meaningfully augments engineers’ day-to-day workflows, from code authoring to debugging and testing, while ensuring consistent quality and safe adoption at scale.

Responsibilities:

• Improve the inner development loop (local dev, build, test) for fast, reliable feedback
• Integrate and advance AI across the SDLC (coding, testing, documentation, workflows)
• Improve developer experience around CI/CD collaboration with CloudDX 
• Identify and eliminate friction across the developer journey
• Build and evolve self-service tooling and internal platforms (DX/IDP)
• Establish and improve developer productivity metrics and engineering insights (e.g., DORA, DX)
• Enable engineering scalability through better tooling, shared libraries, standards, and automation
• Partner across teams to improve developer experience without blocking autonomy

Requirements: 

• Strong experience in Developer Experience, Platform Engineering, or Internal Tooling
• Proven experience building, rolling out, and operating internal developer platforms (IDP)
• Track record of improving developer workflows and productivity at scale
• Hands-on experience with CI/CD, improving reliability, speed, and predictability
• Experience defining and using developer productivity metrics (e.g., DORA, DX insights)
• Ability to identify systemic friction and solve it with pragmatic, scalable solutions
• Experience building self-service platforms, tooling, and paved paths
• Hands-on experience with, or strong drive to adopt, AI-enabled workflows across the SDLC  
• Passion for using AI to improve engineering velocity, quality, and developer experience
• Strong collaboration skills and ability to influence across teams

Nice to have: 

• Experience with progressive delivery
• Familiarity with cloud-native architectures and Kubernetes-based platforms
• Experience with test platforms / QA automation and improving feedback loops
• Familiarity with modern frontend architectures and microfrontend delivery models
• EST or UK timezone for closer overlap with direct team members

The Role: 

We’re looking for a Staff Engineer to join the Core Developer Experience (Core DX) team and help make AlphaSense an exceptional environment for building software. In this role, you’ll focus on enabling engineers to work at high velocity, with confidence and flow, by reducing friction and improving the speed and quality of feedback in local development. You’ll design and evolve the tools, environments, and workflows that support fast, reliable iteration for ~400 engineers globally.

Core DX owns the inner loop of development, the day-to-day experience of writing, building, and testing code, along with the internal developer platform, self-service tooling, and developer productivity insights that support it. This is distinct from Cloud Platform DX (outer loop), which owns CI/CD and production infrastructure. You’ll work closely with Cloud DX to ensure a seamless SDLC experience from local development to production, while staying focused on the developer-facing side of that journey.

A key part of this role is embedding AI into the SDLC in a way that meaningfully augments engineers’ day-to-day workflows, from code authoring to debugging and testing, while ensuring consistent quality and safe adoption at scale.

Responsibilities:

• Improve the inner development loop (local dev, build, test) for fast, reliable feedback
• Integrate and advance AI across the SDLC (coding, testing, documentation, workflows)
• Improve developer experience around CI/CD collaboration with CloudDX 
• Identify and eliminate friction across the developer journey
• Build and evolve self-service tooling and internal platforms (DX/IDP)
• Establish and improve developer productivity metrics and engineering insights (e.g., DORA, DX)
• Enable engineering scalability through better tooling, shared libraries, standards, and automation
• Partner across teams to improve developer experience without blocking autonomy

Requirements: 

• Strong experience in Developer Experience, Platform Engineering, or Internal Tooling
• Proven experience building, rolling out, and operating internal developer platforms (IDP)
• Track record of improving developer workflows and productivity at scale
• Hands-on experience with CI/CD, improving reliability, speed, and predictability
• Experience defining and using developer productivity metrics (e.g., DORA, DX insights)
• Ability to identify systemic friction and solve it with pragmatic, scalable solutions
• Experience building self-service platforms, tooling, and paved paths
• Hands-on experience with, or strong drive to adopt, AI-enabled workflows across the SDLC  
• Passion for using AI to improve engineering velocity, quality, and developer experience
• Strong collaboration skills and ability to influence across teams

Nice to have: 

• Experience with progressive delivery
• Familiarity with cloud-native architectures and Kubernetes-based platforms
• Experience with test platforms / QA automation and improving feedback loops
• Familiarity with modern frontend architectures and microfrontend delivery models
• EST or UK timezone for closer overlap with direct team members

Please send your application and CV to jobs (at) alpha-sense.com

About the Role:

We’re looking for a Principal Software Engineer to help define and build shared, API-first product platforms at AlphaSense that power multiple product surfaces, integrations, and agentic workflows.

In this role, you’ll focus on building platforms as products: well-designed APIs, clear contracts, strong reliability guarantees, and a roadmap driven by real product needs. These platforms are consumed by internal product teams, external integrations, including AI agents.

This role sits at the intersection of hands-on engineering and cross-product technical leadership. You’ll stay close to the code while shaping how product platforms are designed, evolved, and adopted across the company. You’ll also work across multiple teams and domains, helping to align long-term technical direction while still owning end-to-end systems. This is not a people-management role, nor is it a purely advisory architecture role. We’re explicitly looking for a Principal who enjoys building, prototyping, iterating, and solving complex problems in production.

What You’ll Do:

• Act as a technical owner and force multiplier for API-first architecture across the company
• Design, build, and evolve high-scale APIs used by internal teams, external customers, and intelligent agents
• Lead the development of agentic workflows, including orchestration, state management, tooling, and integration patterns
• Drive API standards, design principles, and best practices through hands-on work and technical reviews
• Tackle complex cross-team problems where requirements are ambiguous, and constraints are real
• Partner with Product, Platform, and SRE teams to ensure APIs are reliable, observable, secure, and scalable
• Identify and reduce systemic technical risks while enabling teams to move faster
• Mentor senior engineers and raise the technical bar through example, not hierarchy

Who you are:

• Extensive experience as a senior staff/principal-level software engineer working on applications and backend systems
• Experience building product platforms or shared services consumed by multiple product teams
• Proven track record of designing, building, and operating APIs at scale
• Strong hands-on experience with RESTful APIs
• Some experience with GraphQL (design, usage, or operating in production)
• Deep understanding of system design, performance, reliability, and evolution over time
• Strong bias toward hands-on contribution and ownership of real systems
• Ability to influence technical direction across teams through credibility and execution

Nice to have: 

• Experience building or enabling agentic or AI-driven workflows
• Familiarity with MCP (Model Context Protocol) or similar agent integration patterns
• Experience working in large-scale, distributed systems environments
• Exposure to API governance, versioning strategies, and backward compatibility at scale
• Experience working closely with the platform and SRE teams

What we offer:

• Playing a part in the story of a fast growing company
• Interesting career opportunities and training
• Relocation support for single employees, couples and families
• While we do have an office in Helsinki, we’re a distributed company. We value outcomes over time, and offer flexible working arrangements. We usually meet at the office once a week.
• Private healthcare services from Terveystalo
• 2 weeks of vacation granted up front, and possibility to use vacation days as they accrue
• Access to gym room, gaming room, free parking near the office, mobile phone, Lunch benefit, mobile plan, home internet, remote work equipment, and many more....

You can apply by sending your cover letter and resume through the application form.

The Role: 

We are looking for a Head of Engineering Productivity & Experience to lead the evolution of how software is built, tested, and delivered at AlphaSense. This is a high-impact, Director-level leadership role shaping developer experience and engineering productivity across our global ~400-engineer organization through platforms, tooling, and engineering practices. The position will initially lead teams of ~13 engineers while defining the operating model and long-term trajectory of the Engineering Productivity domain. 

Your mission will be to drive the strategy for a unified platform ecosystem that bridges AI-driven development, Developer Tooling, Web Infrastructure, and QA Automation. You will lead the evolution of platforms that enable high-confidence releases across local development, microfrontend delivery, and automated quality engineering, while shaping a seamless developer-facing CI/CD experience in partnership with SRE and Cloud Platform teams.

A core pillar of this mission is advancing the AI-assisted SDLC. You will define and implement AI-enabled tooling and workflows that measurably improve developer productivity and experience. This includes areas such as AI-assisted code reviews, test generation and coverage expansion, developer documentation, and improving the entire inner-loop development experience. The goal is to ensure AI becomes a practical accelerator in everyday engineering workflows rather than a standalone tool.

While this role is centered on organizational strategy and platform leadership, we value "player-coach" DNA. You should be a technically sharp leader who is comfortable diving into architectural reviews or getting close to the code when necessary to unblock teams or accelerate progress.

We are primarily seeking Director-level candidates, though strong Senior Engineering Managers with a proven track record of scaling DevEx or Platform organizations are also encouraged to apply.

What You’ll Do: 

• Lead developer productivity and experience across AlphaSense’s engineering organization
• Drive the evolution of developer productivity tooling, covering inner-loop development workflows
• Define and implement a strategy for AI-driven developer productivity capabilities across SDLC
• Own the developer-facing CI/CD experience, improving build, test, and deployment workflows
• Build and scale QA automation platforms that enable high confidence in software delivery
• Lead and scale web infrastructure and microfrontend delivery, enabling independent releases
• Improve engineering velocity by reducing friction in development, testing, and delivery workflows
• Partner with SRE, Cloud, and Product Engineering teams to improve the software delivery
• Establish metrics and feedback loops to improve developer productivity and experience

Who You Are:

• Several years of engineering leadership in developer productivity and experience
• Strong understanding of the software development lifecycle and modern engineering workflows
• Experience improving CI/CD developer experience
• Experience building or scaling internal developer platforms
• Experience driving test automation and quality engineering practices at scale
• Experience operating in large engineering organizations with distributed teams
• Demonstrated experience building and mentoring high-performing engineering teams
• Experience implementing AI-assisted development tooling
• Ability to lead through influence and collaboration across multiple engineering organizations
• Experience improving engineering metrics such as delivery velocity, cycle time, and CSAT

Nice to have: 

• Experience with progressive delivery
• Familiarity with cloud-native architectures and Kubernetes-based platforms
• EST or UK timezone for closer overlap with direct team members
• Familiarity with modern frontend architectures and microfrontend delivery models

You can apply by sending your cover letter and resume through the application form.

The Role: 

We are looking for a Head of Engineering Productivity & Experience to lead the evolution of how software is built, tested, and delivered at AlphaSense. This is a high-impact, Director-level leadership role shaping developer experience and engineering productivity across our global ~400-engineer organization through platforms, tooling, and engineering practices. The position will initially lead teams of ~13 engineers while defining the operating model and long-term trajectory of the Engineering Productivity domain. 

Your mission will be to drive the strategy for a unified platform ecosystem that bridges AI-driven development, Developer Tooling, Web Infrastructure, and QA Automation. You will lead the evolution of platforms that enable high-confidence releases across local development, microfrontend delivery, and automated quality engineering, while shaping a seamless developer-facing CI/CD experience in partnership with SRE and Cloud Platform teams.

A core pillar of this mission is advancing the AI-assisted SDLC. You will define and implement AI-enabled tooling and workflows that measurably improve developer productivity and experience. This includes areas such as AI-assisted code reviews, test generation and coverage expansion, developer documentation, and improving the entire inner-loop development experience. The goal is to ensure AI becomes a practical accelerator in everyday engineering workflows rather than a standalone tool.

While this role is centered on organizational strategy and platform leadership, we value "player-coach" DNA. You should be a technically sharp leader who is comfortable diving into architectural reviews or getting close to the code when necessary to unblock teams or accelerate progress.

We are primarily seeking Director-level candidates, though strong Senior Engineering Managers with a proven track record of scaling DevEx or Platform organizations are also encouraged to apply.

What You’ll Do: 

• Lead developer productivity and experience across AlphaSense’s engineering organization
• Drive the evolution of developer productivity tooling, covering inner-loop development workflows
• Define and implement a strategy for AI-driven developer productivity capabilities across SDLC
• Own the developer-facing CI/CD experience, improving build, test, and deployment workflows
• Build and scale QA automation platforms that enable high confidence in software delivery
• Lead and scale web infrastructure and microfrontend delivery, enabling independent releases
• Improve engineering velocity by reducing friction in development, testing, and delivery workflows
• Partner with SRE, Cloud, and Product Engineering teams to improve the software delivery
• Establish metrics and feedback loops to improve developer productivity and experience

Who You Are:

• Several years of engineering leadership in developer productivity and experience
• Strong understanding of the software development lifecycle and modern engineering workflows
• Experience improving CI/CD developer experience
• Experience building or scaling internal developer platforms
• Experience driving test automation and quality engineering practices at scale
• Experience operating in large engineering organizations with distributed teams
• Demonstrated experience building and mentoring high-performing engineering teams
• Experience implementing AI-assisted development tooling
• Ability to lead through influence and collaboration across multiple engineering organizations
• Experience improving engineering metrics such as delivery velocity, cycle time, and CSAT

Nice to have: 

• Experience with progressive delivery
• Familiarity with cloud-native architectures and Kubernetes-based platforms
• EST or UK timezone for closer overlap with direct team members
• Familiarity with modern frontend architectures and microfrontend delivery models

What we offer: 

• Playing a part in the story of a fast growing company
• Interesting career opportunities and training
• Relocation support for single employees, couples and families
• While we do have an office in Helsinki, we’re a distributed company. We value outcomes over time, and offer flexible working arrangements. We usually meet at the office once a week.
• Private healthcare services from Terveystalo
• 2 weeks of vacation granted up front, and possibility to use vacation days as they accrue
• Access to gym room, gaming room, free parking near the office, mobile phone, Lunch benefit, mobile plan, home internet, remote work equipment, and many more....

You can apply by sending your cover letter and resume through the application form.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About the Team

Integrations at AlphaSense is at the forefront of innovation in Enterprise Intelligence, with a commitment to providing our users with the tools to capture crucial insights seamlessly, transform these insights into actionable intelligence, and make informed decisions that drive meaningful outcomes.

Integrations provide a diverse range of connectors, enabling our clients to seamlessly ingest their enterprise data into AlphaSense. This data is then enhanced by AlphaSense Intelligence, empowering financial institutions and corporations to make precise decisions.

The integration team is operating as a “Startup Within A Startup”.

The Role

We seek an innovative, passionate and motivated Senior Software Engineer to help create the next big thing in Enterprise Knowledge Platform solutions for User Financial Data. You will join our team of world-class experts developing the Alphasense platform. The team is right at the core of what we do and responsible for implementing cutting-edge technology for building scalable, secure & reliable enterprise solutions.You will focus on solving larger technical challenges while leading the effort to design, build, and configure applications and act as the primary point of contact. 

This role is ideal for someone who thrives in a fast-paced environment and enjoys solving high-impact problems.

Who You Are

• A skilled software professional with no less than 4 years of experience in backend development.

• A strong communicator with the ability to distil complex technical concepts for diverse audiences.

• A problem-solver with a proactive and customer-first mindset.

• Adaptable and eager to continuously learn and improve.

• Enjoy being part of an entrepreneurial team and work diligently to help others when needed.

What You’ll Do

• Write high-quality, performant, industry-standard code.

• Develop and maintain product expertise and technical mastery while contributing to the team.

• Work with a globally distributed and cross-functional team

• Stay abreast of and implement the latest engineering processes, DevOps practices, and trends.

• Mentor Software Engineers to improve their skills and reduce development iterations.

• Clarify requirements and develop effective solutions.

• Drive technical maturity and organizational growth through continuous learning and the application of new technologies and practices.

Must Have

• Programming Languages:  Proficiency in Java or Python, or both.

• Cloud Service Providers: Working understanding of any of the cloud service providers (preferably AWS).

• Database Systems: Working knowledge of SQL and NoSQL databases.

• Microservice Architecture:  Experience in designing stateless and stateful microservices.

• Problem-Solving and Analytical Skills:  Ability to dissect complex problems into manageable components and arrive at effective solutions.

• Communication and Collaboration:  Capacity to articulate ideas clearly and incorporate feedback rapidly.

• Data Integration Expertise: Hands on experience in building and maintaining large scale data integration systems. Expertise in setting up MCP’s for data integration.

• Data Processing: Experience with asynchronous data processing.

Good To Have:

• Hands-on experience with Docker and Kubernetes.

• Experience with GenAI tooling for productively achieving day-to-day tasks.

• Experience with Helm charts and ArgoCD.

• Experience with unit testing frameworks.

About The Role:

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

About The Role:

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

About The Role:

Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization.

Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fellow engineers, influencing architectural decisions, and setting the technical bar for reliability across the company.

Who You Are:

• 8+ years of experience in Site Reliability Engineering, DevOps, or a similar role, with at least 3+ of those years operating in a Senior+ SRE position
• Strong background in running production SaaS systems at scale.
• Proficiency in at least one programming/scripting language (Python, Go, or similar).
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and Kubernetes.
• Deep understanding of networking fundamentals (TCP/IP, DNS, HTTP/S, load balancing).
• Experience with monitoring & alerting (Prometheus, Grafana, Datadog, ELK).
• Familiarity with advanced observability (OTEL, continuous profiling).
• Proven incident management experience, including leading high-severity incidents and postmortems.
• Strong troubleshooting skills across the full stack.
• Excellent communication and collaboration skills.

What You’ll Do

• Architect Reliability Paved Paths: Build frameworks and self-service tooling that let teams own the reliability of their services in a “You Build It, You Run It” culture.
• Lead AI-Driven Reliability: Drive our AIOps strategy — automating diagnostics, remediation, and proactive failure prevention.
• Champion Reliability Culture: Embed SRE practices across engineering via design reviews, production readiness, and operational standards.
• Incident Leadership: Act as Incident Commander during critical events, modeling operational excellence, and ensuring blameless postmortems lead to lasting improvements.
• Advance Observability: Deliver end-to-end monitoring, tracing, and profiling (Prometheus, Grafana, OTEL, Continuous Profiling) to optimize performance proactively.
• Mentor & Multiply: Elevate engineers across SRE and product teams through mentorship, technical guidance, and knowledge sharing.

About the Role:

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role:

Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:
      Must have 

• 6+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's)  in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs). 
• Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
• Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
• Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

        Great to have 

• Experience in async processing of data at scale
• Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).
  
  

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Integrate and manage LLM Observability to trace, debug, and monitor every extraction
• Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.

About the Role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.

This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.

What You'll Do

• Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
• Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
• Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
• Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
• Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability

What We're Looking For

Required:

• 8+ years building and operating distributed systems in production
• Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
• Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
• Experience leading technical initiatives and mentoring engineering teams
• Strong coding skills with ability to work across the stack
• Excellence in debugging production issues and implementing comprehensive observability
• History of making pragmatic trade-offs between perfect and shipped

Preferred:

• Experience with LLM applications, agent frameworks, or AI/ML infrastructure
• Familiarity with prompt engineering, RAG patterns, vector databases
• Background at high-growth companies or modern engineering cultures
• Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

Impact You'll Have

Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.

About the Role

AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.

This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.

What You'll Do

• Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
• Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
• Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
• Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
• Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability

What We're Looking For

Required:

• 12+ years building and operating distributed systems in production
• Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
• Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
• Experience leading technical initiatives and mentoring engineering teams
• Strong coding skills with ability to work across the stack
• Excellence in debugging production issues and implementing comprehensive observability
• History of making pragmatic trade-offs between perfect and shipped

Preferred:

• Experience with LLM applications, agent frameworks, or AI/ML infrastructure
• Familiarity with prompt engineering, RAG patterns, vector databases
• Background at high-growth companies or modern engineering cultures
• Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)

Impact You'll Have

Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.