SQL Jobs

Scale AI

Scale AI is seeking a Head of Financial Systems to lead the strategy, implementation, and ongoing enhancement of the company's finance technology stack. This role requires a builder-first leader who can combine enterprise architecture expertise with AI automation to streamline manual processes, strengthen financial data management, and empower the Finance team with the necessary speed and accuracy. You will serve as the primary technology partner to Finance leadership, holding ultimate accountability for the reliability, scalability, and intelligence of all systems involved in the financial close, revenue, and spend lifecycles.

$198k - $248k

Harvey

Harvey is seeking its first Support Operations Data Analyst to own the analytics function for the User Operations organization. This role is crucial for transforming how support data is managed, analyzed, and utilized to improve critical metrics. You will be responsible for building and maintaining dashboards, reports, and feedback loops that track key performance indicators such as cSAT, TTR, QA scores, and escalation rates. The ideal candidate will be adept at translating complex data into clear narratives, identifying data gaps, and ensuring the organization is equipped with the necessary instrumentation as it scales. This is a solo role requiring independence, confidence in metric framing, and the ability to operate at a fast pace.

$112k - $168k

Harvey

Harvey is seeking its first Support Operations Data Analyst to own the analytics function for the User Operations organization. This role is crucial for transforming how support data is managed, analyzed, and utilized to improve critical metrics. You will be responsible for building and maintaining dashboards, reports, and feedback loops that track key performance indicators such as cSAT, TTR, QA scores, and escalation rates. The ideal candidate will be adept at translating complex data into clear narratives, identifying data gaps, and ensuring the organization is equipped with the necessary instrumentation as it scales. This is a solo role requiring independence, confidence in metric framing, and the ability to operate at a fast pace.

$112k - $168k

Harvey

Harvey is seeking its first Support Operations Data Analyst to own the analytics function for the User Operations organization. This role is crucial for transforming how support data is managed, analyzed, and utilized to improve critical metrics. You will be responsible for building and maintaining dashboards, reports, and feedback loops that track key performance indicators such as cSAT, TTR, QA scores, and escalation rates. The ideal candidate will be adept at translating complex data into clear narratives, identifying data gaps, and ensuring the organization is equipped with the necessary instrumentation as it scales. This is a solo role requiring independence, confidence in metric framing, and the ability to operate at a fast pace.

$112k - $168k

Together AI

You will join the Data Platform team, responsible for building the backend services and data products that power how data moves through the company. This involves creating core platform primitives like high-quality event streams, reliable access layers, and developer-friendly APIs and tools. The goal is to enable teams across the organization to self-serve their data needs and ship faster. You will contribute to backend services that derive value from company data and enhance the self-serve capabilities of the data platform, allowing product and engineering teams to easily create and operate event-driven architectures, publish/consume streams, define access models, and manage data products end-to-end. Additionally, you will work on LLM-adjacent services, including prompt categorization, enrichment, and metadata systems, transforming raw telemetry into trusted, usable products with guidance from experienced engineers.

$120k - $170k

Scale AI

Scale is seeking a high-performing Strategic Finance Manager to support its rapidly growing Generative AI (GenAI) business. This role involves partnering with leadership across Product, Operations, Growth, and Go-to-Market teams to bring financial rigor to decision-making, develop actionable insights, and build scalable financial systems. The ideal candidate will have 4-6 years of experience in a fast-paced, high-growth environment, with a blend of analytical skills, business acumen, and strong execution capabilities. You will be responsible for evolving the GenAI financial forecasting model, supporting performance management, evaluating strategic initiatives, and conducting financial analyses for new ventures. Collaboration with Accounting and Corporate Finance teams to refine financial processes and systems is also a key aspect of this position.

$176k - $221k

Harvey

Harvey is transforming legal and professional services by integrating frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are building a generational company at an inflection point, with strong product-market fit and significant investor support, scaling rapidly to define a new category. Our team is driven by decisiveness, simplicity, and a commitment to continuous improvement, operating with intensity and a focus on customer needs. This is an opportunity to do your best work alongside ambitious colleagues. We are seeking a technical, systems-minded operator to build and scale the evaluation engine for Harvey's platform. As we expand globally, ensuring our models are reliable, accurate, and jurisdictionally correct is critical, and evaluation complexity is increasing significantly. You will work closely with Applied Legal Researchers, Product, Engineering, AI Research, and human data providers to operationalize evaluation methodologies and integrate them into our product development lifecycle. This role involves creating the workflows, systems, and tooling to establish evaluation as a core product capability, offering high ownership for individuals who thrive in ambiguity and enjoy building structure within a global AI company.

Harvey

Harvey is seeking a foundational Growth Product Lead to define and execute the product-led growth strategy for its AI platform. This role sits at the intersection of Product, Marketing, and Go-To-Market (GTM) teams, focusing on acquiring, activating, and expanding users within leading law firms and professional services organizations. You will leverage deep product thinking and a data-driven experimentation mindset to unlock new growth avenues, working cross-functionally with Engineering, Design, Marketing, Sales, and Customer Success to build features and systems that accelerate the company's trajectory.

$235k - $320k

Harvey

Harvey is seeking a founding People Data Analytics Lead to establish and direct the company's people analytics function. This role involves building the data infrastructure from the ground up, defining methodologies for measuring and modeling workforce data, and creating a unified view of the employee lifecycle. The objective is to provide leaders with actionable insights into workforce dynamics, enabling proactive intervention and understanding of talent development. This position is part of the People Ops team, with close collaboration across various departments, and offers the opportunity to build and lead a team as the function proves its value.

$180k - $250k

Harvey

Harvey is seeking a founding People Data Analytics Lead to establish and direct the company's people analytics function. This role involves building the data infrastructure from the ground up, defining methodologies for measuring and modeling workforce data, and creating a unified view of the employee lifecycle. The objective is to provide leaders with actionable insights into workforce dynamics, enabling proactive intervention and understanding of talent development. This position is part of the People Ops team, with close collaboration across various departments, and offers the opportunity to build and lead a team as the function proves its value.

$180k - $250k

Harvey

Harvey is seeking a founding People Data Analytics Lead to establish and direct the company's people analytics function. This role involves building the data infrastructure from the ground up, defining methodologies for measuring and modeling workforce data, and creating a unified view of the employee lifecycle. The objective is to provide leaders with actionable insights into workforce dynamics, enabling proactive intervention and understanding of talent development. This position is part of the People Ops team, with close collaboration across various departments, and offers the opportunity to build and lead a team as the function proves its value.

$180k - $250k

Scale AI

Scale is at the forefront of the AI revolution, developing data engines and technologies that power the world's leading LLMs. This role focuses on leading critical programs within the Platform and Security Engineering teams, overseeing the design and development of core data storage systems and security initiatives. You will drive company-wide programs, improve processes, and ensure alignment with industry standards, gaining exposure to the cutting edge of AI adoption across various sectors. The work is crucial for making AI models safe, aligned, and useful through human evaluation and reinforcement learning.

$181k - $226k

Databricks

We are seeking an AI Infrastructure Engineer to own the infrastructure that powers our ML and LLM training pipelines. This is a fully remote position.

$170k - $240k

Scale AI

Scale's public sector business is focused on delivering cutting-edge agentic AI to orchestrate portfolio management for homeland defense. We are seeking a Program Manager (PgM) to lead and own the execution for Scale's portfolio of clients dedicated to the layered defense of the United States. This is a hands-on leadership role requiring deep technical understanding, strong customer relationship management, and the ability to drive change in fast-moving, mission-driven environments. You will be instrumental in solving complex problems by working closely with our engineering team.

$233k - $291k

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

Stability AI

Stability AI is seeking a Senior Product Engineer to lead the ground-up development of PLG growth and lifecycle infrastructure for their music and audio products. This greenfield role spans web, desktop, plugin, and mobile platforms, requiring you to select the technology stack, design the event model, implement integrations, and manage the system. The ultimate goal is to create a measurable and attributable funnel from anonymous users to paying customers and account expansion. This position is at the nexus of growth marketing, product lifecycle management, and community-driven PLG, focusing on systems that drive conversion within the product.

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are seeking a Trust Engineer to be the engineering backbone of our compliance and assurance programs. In this role, you will report to the Head of Trust and be responsible for building and owning the data infrastructure, automation tooling, and AI-powered workflows that enable our Trust team to scale audit readiness, continuous monitoring, and risk reporting. This involves selecting compliance automation platforms, building a compliance data layer, and developing AI-powered workflows for automated evidence collection, control testing, and assurance reporting.

$220k - $330k

Replit

The Fraud team is the front line defending Replit's platform from exploitation, detecting and shutting down phishing deployments, preventing cryptomining on free-tier infrastructure, stopping LLM token farming, and keeping bad actors from weaponizing the platform against our users. This is adversarial work where attackers adapt constantly, and you will build the detection systems, heuristics, and automated responses to stay ahead of them. This role offers unique experience applying AI to security problems in production, building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. You will own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.

Replit

The Risk team at Replit is on the front lines, defending the platform from exploitation by detecting and shutting down malicious activities. This adversarial role involves staying ahead of constantly adapting attackers by building detection systems, heuristics, and automated responses. You will tackle unique, AI-native problems such as building guardrails for AI-generated code, detecting prompt injection attacks at scale, and leveraging LLMs as a defensive tool against abuse. This is a hands-on opportunity to apply AI to security problems in a production environment with real attackers, owning problems end-to-end from identifying abuse patterns to shipping scalable solutions.

Replit

Replit is seeking a Staff Software Engineer for its Trust & Safety team to defend the platform from exploitation. This role involves detecting and shutting down various forms of abuse, including phishing, cryptomining, and LLM token farming, by building advanced detection systems and automated responses. The position offers unique challenges at the intersection of AI and security, focusing on problems like building guardrails for AI-generated code, detecting prompt injection at scale, and using LLMs defensively. You will own problems end-to-end, from identifying abuse patterns to implementing solutions that stop them at scale, gaining hands-on experience applying AI to security in a production environment with real attackers.