G

Gamma

Transforms documents into interactive memo cards

Data Engineer - Data Systems

Full-Time
$230k - $310k/yr+ Equity
Senior, Expert
San Francisco, CA, USA
In PersonFour to five days in the San Francisco office per week required.
Data & AnalyticsData Engineering

About the job

Requirements
  • At least 10 years of experience as a data or software engineer, with deep expertise in distributed systems, data infrastructure, and high-growth SaaS products at massive scale.
  • Expert-level knowledge of Apache Kafka, including producers, consumers, Kafka Connect, stream processing, and event streaming platforms.
  • Extensive hands-on experience with Snowflake, including performance optimization, cost management, and data modeling.
  • A strong foundation in Postgres, change data capture patterns, and replication strategies.
  • A proven track record of architecting and leading major data infrastructure initiatives through orders-of-magnitude growth.
  • Experience establishing best practices and driving technical strategy across organizations.
  • Strong communication skills and a history of influencing technical direction across engineering, analytics, and leadership.
  • Proficiency with dbt and Terraform.
  • Working knowledge of data governance, privacy compliance including GDPR and CCPA, and security best practices.
Responsibilities
  • Own and evolve the end-to-end event pipeline architecture, from Kafka ingestion through Snowflake analytics, while setting technical direction for data infrastructure.
  • Design and architect distributed data systems that scale to orders of magnitude more data volume while maintaining query performance.
  • Lead initiatives to build and optimize change data capture pipelines and streaming data transformations at massive scale.
  • Establish best practices for data quality, pipeline reliability, and system observability across the organization.
  • Drive strategic technical decisions about data modeling, infrastructure architecture, and technology choices.
  • Mentor engineers and elevate data engineering practices across analytics, product, and engineering teams.

About the company

Gamma.app creates interactive memos by turning traditional documents and presentations into visual, card-based experiences that mix text, images, videos, and interactive elements. Users build these memos by assembling multimedia content into designed cards, which can be navigated easily to convey messages clearly. The platform offers a free basic tier and paid subscriptions that unlock advanced features and customization to fit individual professionals and teams. Its goal is to become a preferred tool for creating and sharing information, delivering engaging materials for reports, proposals, training, and marketing while generating recurring revenue from subscriptions.

Company Size

201-500

Company Stage

Series B

Total Funding

$87M

Headquarters

San Francisco, California

Founded

2020

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Simplify Jobs

Simplify's Take

What believers are saying

  • Gamma announced a London office and APAC expansion in August 2026.
  • Enterprise connectors and Generate API broadened adoption across workflows in 2026.
  • October 2026 Disrupt panel with Anthropic and Clay spotlights enterprise AI credibility.

What critics are saying

  • Microsoft PowerPoint, Google Slides, Canva, and Adobe compress Gamma's pricing power by 2027.
  • LLM vendors like OpenAI and Anthropic can bundle slide generation into ChatGPT and Claude.
  • Gamma's design moat depends on speed; slower product rebuilds invite commoditization and churn.

What makes Gamma unique

  • Gamma reached $100M ARR profitably with 50 employees and 600,000 paying subscribers in 2026.
  • March 2026's Gamma Imagine expands Gamma from decks into marketing assets and infographics.
  • Gamma orchestrates 20-plus AI models, plus custom research through August 2026 Lica acquisition.

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Benefits

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

40%

2 year growth

-1%
TechCrunch
Oct 9th, 2026
Gamma's Grant Lee, Engine's Elia Wallen, and GV's Crystal Huang on landing your first 1,000 customers

At TechCrunch Disrupt 2026, Gamma CEO Grant Lee, Engine CEO Elia Wallen, and GV general partner Crystal Huang will discuss strategies for acquiring the first 1,000 customers. They'll cover community building, product-led growth, founder-led sales, and word of mouth tactics for early-stage startups. Lee co-founded Gamma, an AI-powered visual communication platform approaching 100 million users that reached $100 million in annual recurring revenue in 2025. Wallen bootstrapped Travelers Haven in 2008 before shifting to Engine, which now serves over 30,000 businesses and one million travellers. In July, Engine acquired Options Travel and TempoTrip. Huang, who focuses on SaaS, infrastructure, and AI investments at GV, will provide the investor perspective on early customer traction.

Yahoo Finance
Oct 6th, 2026
Gamma launches Gamma 5 to eliminate 'AI smell' from generated content

Gamma has launched Gamma 5, a rebuilt AI-powered platform for visual communication designed to eliminate generic-looking AI-generated content. The platform serves over 100 million users creating presentations, documents, and websites. Gamma 5 features a conversational AI agent that retains context during editing, allowing seamless transitions between automated and manual editing. The update includes an expanded style palette, enterprise connectors for tools like Slack and Granola, and the ability to import and edit existing PowerPoint and PDF files whilst preserving their design. The rebuild addresses concerns that AI-generated work increasingly looks similar across organisations, potentially undermining perceived expertise and trust. Gamma 5 maintains brand consistency by carrying guidelines and preferences across projects, enabling teams to create distinctive visual content whilst retaining AI's speed advantages. The platform is backed by Andreessen Horowitz and Accel.

AndroGuider
Sep 28th, 2026
Anthropic, Clay and Gamma to reveal enterprise AI deployment secrets at TechCrunch Disrupt 2026.

Anthropic, Clay and Gamma to reveal enterprise AI deployment secrets at TechCrunch Disrupt 2026. Tl;dr. * Anthropic, Gamma, and Clay leaders will headline the AI Stage at TechCrunch Disrupt 2026 in San Francisco for a session on enterprise AI at scale. * The panel will focus on moving AI from pilot to production, tackling security, workflows, and adoption challenges. * The session is positioned as a playbook for founders and enterprise leaders building AI tools companies will actually pay for and use. A heavyweight lineup hits The AI Stage. TechCrunch Disrupt 2026 is betting big on enterprise AI, and its AI Stage just got one of its most practical sessions yet. Leaders from Anthropic, Gamma, and Clay are set to take the stage together to pull back the curtain on what really happens when large companies deploy AI at scale. Not the polished demo version, but the messy, complex reality of integration, governance, user trust, and ROI. The session comes as Disrupt returns to San Francisco this October, with AI deployment - not just AI models - emerging as the central theme for founders, investors, and enterprise buyers. Beyond the demo: why this session matters. Every startup in 2026 can demo an impressive AI agent. Very few can deploy one inside a Fortune 500 company and keep it there. That gap between wow and work is exactly what this panel plans to address. According to TechCrunch, the discussion will focus on moving AI products beyond the prototype phase, navigating real-world deployment blockers, and designing tools that teams actually adopt instead of abandon after a pilot. It is a timely topic. Enterprise AI spending has surged, but so has pilot fatigue. CIOs report being flooded with copilots and agents, while struggling with data readiness, security reviews, change management, and proving value to the board. Who is taking the stage. The power of the panel is in the mix of perspectives. Anthropic brings the foundation model view. As the company behind Claude, Anthropic now powers mission-critical workflows across finance, healthcare, legal, and software development, giving it a front-row seat to what enterprises demand around safety, reliability, compliance, and scale. Gamma brings the product-led growth view. The AI-native presentation and content platform has scaled to tens of millions of users by rethinking a familiar format - decks, docs, and websites - around AI from day one. Its team has learned how to onboard non-technical users, drive viral adoption inside companies, and iterate fast without breaking trust. Clay brings the go-to-market transformation view. The New York-based sales automation platform has become a poster child for AI applied to real revenue work, helping GTM teams enrich data, personalize outreach, and automate research with AI agents. Clay's rise shows how AI can embed deeply into existing workflows rather than asking users to change them. Together, the three companies represent the full stack of enterprise AI: models, creation tools, and workflow automation. Tackling the hard problems of deployment at scale. Expect the conversation to go deep on the unglamorous challenges that decide whether AI projects live or die. Key themes likely to dominate include security and permissions, evaluation and hallucinations in production, pricing and ROI pressure, and the human side of adoption. How do you get a sales team, marketing team, or legal team to trust an AI output enough to stake their work on it? The panelists are also expected to share lessons on building for IT admins versus end users, integrating with legacy systems like Salesforce, Slack, and Google Workspace, and designing guardrails that satisfy compliance without killing speed. For founders in the audience, that is gold. It is a live case study in product-market fit for the enterprise AI era. Why enterprises are listening now. The timing for Disrupt 2026 could not be better. Enterprises have moved from experimentation budgets in 2024 and 2025 to scaled production mandates in 2026. Boards now want measurable productivity gains, not AI theater. At the same time, competition among AI vendors has intensified. With OpenAI, Google, Anthropic, and a wave of well-funded startups all chasing enterprise contracts, usability and deployment expertise have become key differentiators. Sessions like this reflect a shift at Disrupt itself - less hype about what AI could do, more focus on what it takes to ship, sell, and scale it inside complex organizations. What to expect at TechCrunch Disrupt 2026. TechCrunch Disrupt 2026 will bring thousands of founders, VCs, and operators to San Francisco for three days of panels, startup pitches, and product launches, with the AI Stage as a central draw. The Anthropic, Gamma, and Clay session is expected to be one of the standout enterprise-focused discussions, offering tactical takeaways for early-stage teams trying to break into the enterprise and for larger companies trying to separate durable AI platforms from passing trends. If you are building AI for business, this is the panel to have on your schedule. The real secrets of enterprise AI were never in the demo - they are in deployment, and Disrupt 2026 plans to put them on stage. AndroGuider Team Articles written by the AndroGuider team. Androguider try to make them thorough and informational while being easy to read.

India Chron
Sep 21st, 2026
Gamma AI and Beautiful.ai alternative Presentations.AI launches 13 free AI PowerPoint tools that convert pdfs, Word files, Excel spreadsheets, Notion pages and webpages into branded, editable slide...

Gamma AI and Beautiful.ai alternative Presentations.AI launches 13 free AI PowerPoint tools that convert pdfs, Word files, Excel spreadsheets, Notion pages and webpages into branded, editable slide decks. GlobeNewswire · September 21, 2026 The AI PowerPoint maker and slide generator trusted by 12 million users worldwide extends beyond prompt-to-slide generation, converting existing source material into sales decks, investor pitch decks and board presentations that carry company branding, professional design and live business data, with native editable .pptx output in under one minute. San Francisco, Sept. 21, 2026 (GLOBE NEWSWIRE) - Presentations.AI, an AI-native presentation platform reporting more than 12 million users worldwide and backed by Accel Partners and Together Fund, today announced a suite of 13 free-to-try AI presentation and PowerPoint tools that turn existing documents, spreadsheets, webpages and structured information into editable presentations, and convert finished presentations into other commonly used formats. The tools are available through the company's browser-based hub at https://www.presentations.ai/tools The suite is built around a problem that precedes the prompt. The information needed for a presentation usually exists already, but it exists in a format designed for reading, analysis, documentation or collaboration rather than presenting. A quarterly workbook, a research PDF, a Notion project page and a published article all contain the substance of a deck without carrying its structure. Presentations.AI treats the source format as the information layer and uses its presentation engine to determine how that information should become slides. The 13 tools fall into three groups. Seven convert existing content into PowerPoint, covering PDF to PPT, Word to PPT, Excel to PPT, Google Slides to PPT, URL to PPT, HTML to PPT and Notion to PPT. Four create new content with AI, covering Text to PPT, Outline to PPT, Markdown to PPT and an AI PDF Maker. Two convert finished presentations into other formats, covering PPT to PDF and PPT to Google Slides. All 13 run on the same presentation engine that generates 10 to 50 slide decks in under one minute. Conversion is not treated as a page-for-page transfer. The PDF to PPT tool analyses the source document, identifies its structure and reorganises the material for presentation use rather than reproducing each page as a slide. The Word to PPT tool interprets headings, tables and images before restructuring them, on the basis that a document's chapter hierarchy does not necessarily map to a presentation narrative. Spreadsheet conversion carries particular weight for business users. Excel to PowerPoint automation has historically depended on VBA macros, Python scripts or Power Automate workflows, each of which requires technical maintenance. The Excel to PPT tool builds slides with charts and data insights directly from workbook data, giving finance, operations, sales and management teams a route from a workbook to a KPI report, management review or quarterly deck without an intermediate build step. The URL to PPT tool extracts content from supported webpages, articles and YouTube links in real time, while Notion to PPT interprets the structure of a Notion page so that research, project plans, product documentation and meeting notes can become slides without manual recreation. Branding is applied after the information has been converted. Through its proprietary Brand Sync technology, Presentations.AI reads a company website URL, derives the organisation's logo, colours and fonts, and applies that identity across generated slides, removing the need to configure a brand kit first. Output is native, editable Microsoft PowerPoint, with text, shapes, layouts, charts and styling remaining editable after export rather than flattened into images. Decks also export to PDF, Google Slides, PNG, JPEG, HTML and JSON. Editable output matters because conversion is usually the beginning of presentation work rather than its conclusion, with colleagues, executives, agencies and clients still reviewing and circulating decks in established software. The free tools address individual jobs. The broader platform extends the same architecture to recurring ones. Through its patented Presentation Refresh technology, a master presentation can be defined with fixed sections and update rules, then connected to manual sources, Salesforce, HubSpot, Pipedrive, Google Sheets, Tableau, Looker, Mixpanel, Snowflake and BigQuery, with regeneration scheduled daily, weekly, monthly, on demand or in response to qualifying triggers. Shared presentations carry slide-level engagement tracking on paid tiers, recording total views, time spent on individual slides and completion rate. The platform operates a REST API with OAuth 2.0, role-based access control and webhook triggers, alongside white-label output at its Growth tier and above, against a $240 per year annual professional seat. Input flexibility is emerging as a practical benchmark for AI presentation software, which makes supported file formats a stronger signal of usefulness than template count, and places Presentations.AI in a field including Gamma, Canva, Beautiful.ai, Plus AI, Pitch, Prezi and Microsoft Copilot. The company was founded in 2018, reached one million users within 84 days of its 2023 public beta, and counts the United States as its largest market at approximately 23 percent of revenue, followed by India, the United Kingdom, Germany, Australia, Canada and the Middle East. ABOUT PRESENTATIONS.AI Presentations.AI is an AI presentation platform used by more than 12 million people worldwide to create business presentations from prompts, documents, spreadsheets, data and websites. Founded in 2018 and backed by Accel Partners and Together Fund, Presentations.AI combines AI presentation generation with document intelligence, automatic company branding, editable PowerPoint output, presentation personalization, data-connected presentation automation and browser-based AI presentation tools. DISCLAIMER (italics, smaller font) Product capabilities, availability, pricing and user figures are as reported by Presentations.AI. Free-to-try tools may be subject to AI credit, file-size, slide-count, account or plan limits depending on the specific tool and workflow.

TechCrunch
Aug 25th, 2026
Gamma acquires Accel-backed Lica to launch design research lab

Gamma has acquired Accel-backed design startup Lica to establish a design research lab, TechCrunch has learnt. Lica's co-founders will lead the new division. Founded in 2023 by Priyaa Kalyanaraman and Purvanshi Mehta, Lica raised $4 million from Accel, South Park Commons, and Village Global. The startup initially created an app turning screenshots into presentations, later focusing on marketing videos for e-commerce sites. The acquisition stems from shared investors and a common vision for visual communication. Gamma, which has over 100 million users, will use the research division to explore new presentation formats and communication styles. Gamma CEO Lee Grant said the company wants to expand what presentations look like and how people engage with them. The research team will work on customising AI models for different audiences and tastes.