We are building a global operating network that finally enables supply-chain companies to collaborate within one platform. Our workflow engine empowers non-technical industry experts to model their complex manufacturing and operational processes. Our forms engine enables unprecedented data exchange between companies. And our upcoming AI engine can generate entire new processes and summarize the complex goings-on across thousands of workflows, identifying inefficiencies and driving optimization as companies react to a constantly-shifting global landscape.

As an SRE you will have the opportunity to shape our developer platform, work directly with customers, and architect solutions that balance the rigorous security and reliability requirements of global enterprises with the speed and flexibility of a rapidly growing series A organization.

Responsibilities

• Contribute to SRE-owned portions of application codebases related to infrastructure clients, SaaS clients, observability, and reliability patterns.
• Contribute to the developer platform interfaces to enable a growing number of engineers, microservices, and environments (helm charts, CI platform, and deploy processes).
• Advocate for new tools and processes that will help Regrello grow.
• Take part in on-call rotations.
• Collaborate with cross-functional teams, including Development, QA, Product Management, to ensure successful releases.

Stack

• GCP: GKE, CloudRun, Memorystore, CloudSQL, BigQuery
• Kubernetes: helm, helmfile
• Automation: Terraform, shell
• Queue: Temporal, Machinery, Celery
• Launchdarkly
• Otel / Prometheus / Grafana / Splunk

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 4-8 years of experience in site reliability, software engineering, or a related role.
• Strong understanding of software development lifecycle (SDLC) and Agile methodologies.
• Experience with CI/CD tools such as Github Actions, GitLab CI, or CircleCI.
• Proficiency in scripting languages for automation tasks.
• Fluency with cloud platforms (AWS, Azure, GCP), kubernetes, feature flags, and modern backend technologies (experience with Go is strongly preferred, with the ability to quickly learn new technologies as needed).
• A builder’s spirit (you have a track record of building projects for fun, staying updated with open-source developments, etc.)
• Excellent problem-solving and communications skills, and attention to detail, with the ability to work effectively in a remote team environment.

Culture and Compensation

We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We are particularly interested in candidates based in our hubs of Seattle, San Francisco, and New York, but we will consider candidates who live anywhere in the US, Canada, or Mexico. We have industry-leading compensation packages, including equity and health benefits. We are willing to sponsor US work authorization if needed.

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We're on a mission to redefine enterprise software, and we're looking for a Principal Software Engineer, Backend Systems to help push the boundaries of what's possible.

If you love designing and scaling complex backend systems, have shipped major projects or entire products, and can think fluently about distributed systems, data modeling, API design, and integrations, this role is for you.

You'll architect and scale our Go/Postgres/Redis/GraphQL backend, working alongside world-class engineers and product minds to drive high-impact projects, lead critical design discussions, and collaborate directly with customers to shape a platform that's transforming supply chain, manufacturing, and beyond.

The industry is rooting for us, and you'll play a pivotal role in making it happen.

This is a high-autonomy, high-impact individual contributor role, but if you're interested in growing into people management, the opportunity is there depending on your interest and performance.

Product

We're building the AI-first ERP to replace decades-old giants like SAP and Oracle, transforming how enterprises operate.

Our platform can generate any enterprise workflow application in minutes,a dramatic leap from the 1-2 years it traditionally takes IT teams to build them,giving process owners in supply chain, manufacturing, and operations the power to standardize, streamline, and drive their work to completion, no matter the complexity.

This breakthrough is powered by our workflow, forms, and AI engines, as well as our in-house Large Tabular Model, a first-of-its-kind innovation.

Customers aren't just adopting our platform,they're clamoring for more, rapidly expanding their use cases as we enter an exhilarating growth phase.

As one user put it: “I’ve been waiting for this for 20 years.”

Culture and Compensation

We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry.

We are particularly interested in candidates based in our hubs of Seattle, San Francisco and New York, but we will consider candidates who live anywhere in the US, Canada, or Mexico.

We have industry-leading compensation packages, including equity and health benefits.

We are willing to sponsor US work authorization if needed.

Requirements

• M.S. in Computer Science or a related field (B.S. in Computer Science or a related field will be considered with substantial relevant experience)

• 5+ years of industry experience as a backend software engineer, with a focus on large-scale, user-facing web applications in companies like Slack, Uber, or similar

• Proven experience in the architecture and design of large data systems, particularly for software as a service (SaaS)

• Extensive experience in database systems development, data modeling, distributed systems and building robust application backends

• Fluency with databases, APIs and modern backend technologies (experience with Go and GraphQL is strongly preferred, with the ability to quickly learn new technologies as needed)

• A builder's spirit (you have a track record of building projects for fun, staying updated with open-source developments, etc.)

• Ability to lead projects independently and collaboratively in a fast-paced startup environment

• Excellent written and verbal communication skills

• Strong enthusiasm for continuous learning and professional growth and for mentoring peers to help them grow as engineers

Responsibilities

• Architect, design and develop scalable and robust backend systems for large data software-as-a-service (SaaS) applications, ensuring high performance and reliability.

• Collaborate with cross-functional teams including Design, Product Management and industry experts to build high-quality product features.

• Lead and mentor a team of engineers, providing guidance and expertise in backend development, database systems and distributed systems.

• Stay abreast of emerging technologies and industry trends, incorporating new developments into the backend architecture and processes where appropriate.

• Participate in code reviews, technical discussions and decision-making processes to maintain high standards of code quality and best practices.

• Drive the adoption of best practices in backend development, data modeling and API design, ensuring the scalability and maintainability of the system.

• Champion a culture of innovation, encouraging and leading initiatives to explore new technologies and improve existing systems.

Additional Information

If this sounds exciting, please apply and we'll get back to you promptly if we see a fit!

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Role: As an SRE at Regrello, you will oversee release management across a growing fleet of SaaS and customer environments. You will collaborate with various teams to ensure that Regrello releases are efficient, consistent, and high-quality, enabling us to scale our engineering and product teams to deliver more features.

Some of the projects the team is working on include becoming cloud-neutral by turning all application infrastructure clients into plugins, helping our AI team manage GPU infrastructure to train new foundational models, and applying changes to our architecture to increase reliability.

Culture and Compensation: We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We have industry-leading compensation packages, including equity and health benefits. We are willing to sponsor US work authorization if needed.

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The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world's largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Role

Engineering Managers at Hebbia are technical leaders who build, ship, and lead. Every manager on our team writes code, reviews pull requests, and makes architecture decisions alongside the engineers they lead. This role requires strong technical ability. If you are looking for a role that is purely people management, this is not the right fit.

You will own a team and a problem space. You will set technical direction, unblock engineers, raise the bar on quality, and ship product that our customers rely on to make investment decisions. You are a strong partner to your product counterpart, and when they are out you drive the product yourself. Product intuition and business understanding are as important as technical depth in this role. You will also hire, coach, and grow your team. Our interview process reflects how we work: expect systems design, coding, and architecture discussions in addition to leadership and management conversations.

Responsibilities

• Own the technical direction and delivery for your team. Set roadmap priorities, define architecture, and make tradeoffs between speed and quality.
• Write and review code. You will spend meaningful time in the codebase, not in meetings about the codebase.
• Hire, coach, and develop engineers. Run effective 1:1s, give direct feedback, and build a team that compounds in strength over time.
• Drive operational excellence for the systems your team owns: monitoring, incident response, on-call, and reliability.
• Collaborate with product and design to translate customer problems into technical solutions that ship fast. When your PM is unavailable, you own the product direction for your team.
• Work directly with customers and internal stakeholders to understand requirements and inform priorities.
• Identify and pay down technical debt. Make pragmatic decisions about when to invest in foundations versus when to move fast.
• Raise the engineering bar across the organization through better tooling, processes, and culture.

Who You Are

• 7+ years of software engineering experience at a venture-backed startup or top-tier technology company, with at least 2 years in a technical lead or engineering management role
• You still write code and want to keep writing code. You see management as a way to multiply impact, not a way to stop building.
• Strong systems design and architecture skills. You can design, critique, and evolve complex distributed systems.
• Experience building and scaling backend systems, data pipelines, or platform infrastructure in production
• Track record of hiring and developing strong engineers. You know what good looks like and you can attract it.
• Strong product intuition. You understand what customers need, why it matters to the business, and can make good product decisions independently.
• High ownership and urgency. You take accountability for outcomes, not process.
• Comfortable working in ambiguity. Priorities shift, requirements are underspecified, and you figure it out.
• Experience with cloud platforms (e.g., AWS) and modern backend technologies (Python, TypeScript, Go)
• Strong communicator. You can create clarity for your team, your stakeholders, and your customers.
• Experience building or leading teams that work with LLMs, agentic systems, or applied AI/ML in production is a plus
• Background in applied research or experience bridging research and production engineering is a plus
• Experience with enterprise customers, particularly in finance, legal, or consulting domains is a plus

Compensation

The salary range for this role is $200,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K
• Eats: Catered lunch daily + DoorDash dinner credit if you ever need to stay late
• Parental leave: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: Competitive equity package with unmatched upside potential

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As a Forward Deployed Engineer, you are the bridge between Hebbia's platform and the real-world complexity of our customers' environments. You sit with the customer's team, understand their hardest problems, and build solutions that make Hebbia indispensable. Then you bring what you've learned back to our engineering and product teams to make the platform better for everyone.

This role is for engineers who want to combine deep technical work with direct customer impact. You will see your code create value in days, not months. The FDE team operates at the intersection of engineering and go-to-market. You will work closely with our core engineering team,shared code review, architecture alignment, deploy pipelines,and with our account teams who direct where you deploy and what you focus on. Our team works in person 5 days a week at our offices in NYC and SF.

Responsibilities:

• Embed with strategic accounts to deeply understand their domain, data, and workflows
• Build custom integrations, workflow automations, and domain-specific solutions on top of Hebbia's platform
• Write production code that deploys through our CI/CD pipelines and meets our engineering standards
• Own the technical relationship with the customer's team during your engagement
• Prototype fast, validate with the customer, iterate, and ship
• Return from engagements and work with engineering and product to generalize reusable patterns into platform capabilities
• Participate in code review, on-call rotation, and architecture discussions alongside core engineering
• Build connectors to customer data sources and document management systems

Who You Are:

• 5+ years software development experience at a venture-backed startup or top technology firm
• Strong full-stack engineering skills. You build across the stack: APIs, data pipelines, frontend when needed, infrastructure when needed.
• Comfortable working in ambiguity. Customer problems are messy and underspecified. You figure it out.
• High customer empathy. You enjoy sitting with users, understanding their workflows, and translating pain points into technical solutions.
• Fast and pragmatic. You prototype, validate, and ship in days and weeks, not quarters.
• Strong communicator. You are the primary technical point of contact for the customer. You can talk to both engineers and executives.
• Experience with cloud platforms (e.g., AWS) and modern backend technologies (Python, TypeScript, Go)
• Experience with data integrations, ETL pipelines, or enterprise data systems (S3, Snowflake, SharePoint, etc.) is a plus
• Experience with LLMs, RAG systems, or applied AI is a plus but not required
• Prior experience in finance, legal, or consulting domains is a plus
• Experience with customer-facing engineering roles (solutions engineering, professional services, or similar) is a plus

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