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Hex Technologies

Collaborative data analytics platform with notebooks

Product Engineer Intern

Summer 2026Updated
$63.46/hr+ Housing Stipend
Internship
Bachelor's
San Francisco, CA, USA
HybridHybrid role; 3 days in office per week in San Francisco.
Software EngineeringFull-Stack Engineering

About the job

Requirements
  • You are pursuing a degree in Computer Science, Engineering, or a related field, with plans to graduate in December 2026 or 2027.
  • You have full-stack engineering experience, ideally JavaScript, TypeScript and/or Python, and have built projects, academic, personal, or professional, that demonstrate your ability to ship software.
  • You have an interest in AI-driven product experiences, and are eager to learn how AI agents, prompting strategies, and context engineering work in production systems.
  • You care about users and enjoy thinking about how technical systems translate into polished, intuitive experiences.
  • You are curious, adaptable, and comfortable working in a fast-paced environment where priorities shift as new technology emerges.
  • You enjoy collaborating with others, asking questions, and learning from more senior engineers.
Responsibilities
  • Build real product features across the stack, using React, TypeScript, and/or Python, helping power the core workflows used by thousands of data practitioners.
  • Collaborate with AI engineers to prototype and refine agentic capabilities, explore prompting strategies, and improve model quality across user-facing experiences.
  • Design and improve end-to-end workflows, contributing to features for collaborative editing, data exploration, debugging, or AI-assisted development.
  • Solve practical engineering challenges, such as performance optimizations, front-end UX improvements, and API design supporting AI-driven features.
  • Participate in the full development lifecycle, from ideation and design to implementation, testing, and launch.

About the company

Hex.tech provides a collaborative data analytics workspace that unifies SQL, Python, R, and no-code in a single notebook interface, letting data teams analyze and visualize data without switching tools. It offers built-in AI that can generate queries, code, visualizations, and even start full analyses from a prompt, plus built-in data connections to warehouses, lakehouses, and databases. Real-time collaboration, version control, and reusable components support team workflows, with deep integrations to dbt, Snowpark for Snowflake, Spark, GitHub, GitLab, and workflow tools like Airflow, Dagster, and Prefect. The freemium model lets users start for free and pay for more features or capacity. Hex.tech’s goal is to make data analysis accessible and efficient for a wide range of users—from data scientists to business analysts and non-coders—by providing a user-friendly, end-to-end platform for querying, coding, visualizing, and sharing insights.

Company Size

201-500

Company Stage

Series D

Total Funding

$277M

Headquarters

San Francisco, CA

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • Hex says over 2,000 organizations trust its platform as of August 22, 2026.
  • The September 15, 2026 changelog adds BYOK for AWS Bedrock and Google Gemini Enterprise.
  • Revelio Labs estimated 256 employees in March 2026, up 50.7% since 2023.

What critics are saying

  • OpenAI's September 16, 2026 Hex GPT-6 Astra integration signals heavyweight commoditization.
  • Hex's August 27, 2026 chart controls still trail spreadsheet-grade polish for analyst workflows.
  • If Snowflake or Databricks bundle comparable agents by 2027, Hex becomes an interface layer.

What makes Hex Technologies unique

  • On September 15, 2026, Hex shipped agent eval suites, approvals skipping, and chat-built apps.
  • On August 27, 2026, generative chart controls added point-and-click precision to code-generated apps.
  • On July 14, 2026, Context Studio exposed prompt-level usage, governance, and spend controls.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Competitive salary & equity
  • Health, vision, & dental
  • Flexible PTO
  • Parental leave
  • 401k matching up to 4%
  • Workstation + learning & development stipends

Growth & Insights and Company News

6 month growth

1%

1 year growth

1%

2 year growth

4%
Tech in Asia
Oct 28th, 2026
Peak XV leads $100m round in AI analytics startup Hex.

Peak XV leads $100m round in AI analytics startup Hex. US data analytics startup Hex said it raised US$100 million at a US$1.2 billion valuation in a round led by Peak XV and 137 Ventures, with Andreessen Horowitz and Sequoia participating. The company also introduced Hex 4.0, which it said was rebuilt for AI agents and code-based analytics. Hex said it rewrote the product from scratch because its earlier architecture limited support for external agents and high-concurrency AI workflows, as more data work moved into tools such as Claude and custom agents. The company said its earlier product was used by more than 2,500 customers globally. The funding comes as analytics software companies continue to attract capital. Sigma Computing announced US$80 million in series E funding after previously raising US$200 million in a series D round. Stay updated on the go with our mobile app. Get latest insights with smoother, more personalized experience through TIA mobile app. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!

DevCuration
Oct 27th, 2026
Hex raises $100M to rebuild analytics around AI agents.

Hex raises $100M to rebuild analytics around AI agents. Hex is making room for an unusual customer journey: the analysis can begin in another company's software. Its newly introduced Hex 4.0 gives external AI agents a way to build against a company's data while keeping the resulting work available for inspection and sharing inside Hex. For an analytics supplier, that puts commercial importance on what happens after someone asks the question. On October 27, 2026, Hex announced a $100M financing at a $1.2B valuation. Peak XV Partners and 137 Ventures led, with Amplify Partners, Avra, a16z, Redpoint, Sequoia and Zero Prime participating. CEO Barry McCardel says the capital will support team growth and go-to-market expansion as the company develops its rebuilt platform. The Hex 4.0 documentation identifies the product as a private beta. The distinction matters for buyers: Hex is introducing a new foundation while continuing to serve an existing business, rather than reporting that every customer has already adopted the new architecture. The broader proposition is to give data teams a manageable relationship with analysis created by agents, including agents those teams did not build. Why Hex is opening its workflow to external agents. The customer need has a familiar shape. A business user wants an answer, an analyst needs a flexible environment, and a data leader needs to understand how the organization reached its conclusion. Giving the first person a faster way to generate a chart can increase the work waiting for the other two. That is the operating problem Hex is attempting to bring inside its product. Hex's documentation describes projects whose logic and presentation live in code files. External agents can use the workspace's context, create projects on connected data, check their work and publish apps within the workspace's permissions. A person working in Claude, Codex or Cursor can therefore reach Hex without beginning the task in its own interface. The company is treating a preferred agent as a route into the platform. Commercially, this broadens the definition of useful analytics software. A supplier can provide value through governed execution, shared context and a place to examine results, even when it does not control the first screen. That is an interpretation of Hex's product design, rather than a forecast about which software category wins. It gives a prospective buyer a concrete question to explore: does this arrangement help a team keep track of the analysis people are already creating? The review experience becomes part of the product. In its Hex 4.0 product announcement, Hex describes an inspection interface that connects an app element to its logic, data sources and lineage. Reviewers can move from a summary toward the code behind a result. That creates a practical route for discussing an answer without requiring every recipient to start by reading a notebook. Consider a team deciding whether a sales chart supports an expansion plan. The chart's appearance tells the reviewer little about the customer definition, time period or filtering decisions beneath it. An inspection workflow can expose the material needed for that conversation. Someone still has to decide whether the reasoning fits the business question, but the product can make that decision easier to locate and explain. The product announcement also describes a rebuilt execution engine, including parallel execution of independent work, streamed results and selective reruns of affected dependencies. Hex presents these as improvements to interactive apps; its internal examples should be read as company demonstrations, rather than universal performance benchmarks. Faster interaction is useful because reviewing an analysis often involves changing an assumption and seeing what moves. Hex identifies StubHub and Ro as alpha testers in the same announcement. Those relationships offer evidence of early customer involvement, with the usual boundary around a vendor-published account: they establish named participation, rather than independent proof of a result across the wider customer base. The work of turning a promising review interface into a routine business practice continues through the beta. A new architecture inside an established company. Hex's founding problem predates the current wave of agents. In New Relic's 2022 interview with the founders, Caitlin Colgrove and Glen Takahashi described the effort to make technical analysis easier to collaborate on and share. Barry McCardel, Caitlin Colgrove and Glen Takahashi founded the company; Hex dates its start to 2019. The tools around the problem have changed considerably during that period. Caitlin Colgrove remains Hex's co-founder and CTO, as confirmed by the company's Prompt 2026 agenda. That engineering continuity gives the rebuild a particular character. The team replacing the platform's assumptions is also connected to the work that produced them, carrying customer knowledge into a different product architecture. The financing history shows earlier investment in that broader analytics ambition. Hex announced a $52M Series B in March 2022 and a $70M Series C in May 2025. Those dated rounds provide context for the latest financing without requiring a guessed cumulative funding figure. The new capital arrives at a point when the company has chosen to revisit its foundations, rather than simply extend its feature list. Where the capital meets customer adoption. Hex's careers page lists work across engineering, product, sales, partnerships and customer functions, with offices in San Francisco and New York and remote roles. Those openings fit the CEO's stated intention to expand the team and go-to-market effort. They also show that commercializing the rebuilt platform involves people who help customers evaluate, adopt and operate it. Private beta creates a practical purchasing conversation. The current documentation lists capabilities that are not yet supported in 4.0, including scheduled runs and app notifications, writeback cells and several export or collaboration functions. An organization evaluating the new architecture will need to compare that scope with its actual workflow, while existing Hex projects continue to operate. The funding announcement supplies resources for that transition, without setting a verified adoption timetable. Hex's proposition puts the data team's review work close to the business user's freedom to explore. A colleague may arrive with an app created in an external agent, a question about its numbers and an urgent decision to make. The relationship Hex is trying to build with that organization now extends through the explanation of how the answer came to exist, and the shared work of deciding what to do with it. DevCuration Data Enterprise Software funding, last 30 days. DevCuration's funding database tracked 4 Enterprise Software rounds totaling $252.5M in disclosed capital over the past 30 days. Recent deals DevCuration covered:

Yahoo
Oct 27th, 2026
Hex deletes millions of lines of code in agent-first pivot, raising $100M at $1.2B valuation

Hex Technologies, a data analytics provider, has raised $100 million in a Series D round led by Peak XV. a16z, Sequoia, Amplify Partners and others took part, valuing the company at $1.2 billion. Hex also announced a pivot to an agent-first analytics product. After its best quarter ever in Q1 2026, it deleted millions of lines of code for features such as chart builders and drag and drop app builders, which chief executive officer Barry McCardel says AI agents now make unnecessary. The rebuilt platform lets users pull projects from Hex into Codex, Claude, and Cursor, then push results back to share, govern, and observe them. Analysts are split on the "SaaSpocalypse." Constellation Research's Mike Ni says analytics vendors that remain a destination, such as dashboards, are vulnerable.

Hex
Aug 27th, 2026
Introducing: Generative Chart Controls.

Introducing: Generative Chart Controls. Breaking the tradeoff between code-gen visualization and last-mile precision Olivia Koshy August 27, 2026 When Hex launched generative apps in May, Hex unlocked a whole new degree of visualization flexibility for interactive data. Because everything is code, you can build anything! Collapsible sections, fine-grained chart annotations, animated presentations and infographics - it's all possible, and the Hex platform provides trusted context, governance, and security. This is a massive leap forward from traditional viz tools, where you're limited to pre-built chart types and layouts. But, there's a big downside, though: GenApps didn't offer the precision, point-and-click tweaks that were legitimately useful in older tools. Want to rename an axis, swap a color, or change the legend? Well, you have to go talk to the agent - which can take a while (and burn tokens). With today's launch of Generative Chart Controls, however, Hex has broken that tradeoff, bringing the best of point-and-click chart controls into the world of code generation. Last-mile precision, for code-generated visualization. Now, visualizations in Hex GenApps include a Style button - opening an intuitive, point and click panel that lets you make tweaks and adjustments without prompting. It's still all "just code", but under the hood, Hex is taking the inputs from those controls and updating the app - so everything stays in sync. Let's take a look at what you can do with this: Chart basics: Update the chart title, style and height Restyle your series: Switch series modes and colors to match how you have the sales segments in your read out deck Update your axes: Swap ARR_WON for "Won ARR ($)" so it feel's polished and stakeholder ready Control the legend: Add a legend and move it to where readers will find it quickly Its visualization team has built a library of custom D3 viz components that the agent can reference while building an app so out of the box your charts should look really good (and better than what you'd normally get out of the box with LLMs)! Breaking the tradeoff of code and control. With generative apps, Hex want to break the tradeoff between being able to build anything you want, and being able to actually trust collaborate, and use what you've built. Generative Chart Controls are the next piece - you no longer have to choose between custom visualizations and precise, last mile edits. And this is just the start, text edits, layout controls and faster ways to polish your whole app are all on the way. Give it a spin today, and let Hex know what you think! This is something Hex think a lot about at Hex, where Hex is creating a platform that makes it easy to build and share interactive data products which can help teams be more impactful. If this is is interesting, click below to get started, or to check out opportunities to join its team.

ASCII
Aug 17th, 2026
Hex releases DataBench: realistic agentic analytics benchmark.

Hex releases DataBench: realistic agentic analytics benchmark. Tl;dr. Hex introduces DataBench, a 100-task benchmark for evaluating AI agents on real-world analytics work, revealing models struggle with judgment and avoid admitting uncertainty. Key points. * GPT-5.6 Luna dominates cost-efficiency, achieving near-Sol performance at 1/14th the cost on Pareto frontier * Claude Fable 5 only model avoiding performance regression at maximum effort levels; Opus 5 talks itself into wrong answers * Models score 75% on evidence-gathering Q&A tasks but only 54% on trap tasks requiring deeper reasoning and judgment * Frontier models rarely admit uncertainty; only Opus 5 passes collections-call-list trap requiring skepticism of plausible-but-wrong evidence Why it matters. Existing analytics benchmarks (Spider 2.0, DABstep) report 85-90% accuracy but test toy problems, not real work. DataBench exposes critical gaps: frontier models manufacture false confidence, struggle with ambiguous prompts, and regress when given more compute. This matters for anyone deploying AI agents on actual business analytics - you need skepticism and human oversight, not blind trust in high benchmark scores.

INACTIVE