Full-Time
Senior Software Engineer
Analytics Compute Platform Team
Updated on 8/22/2026
Amplitude
1,001-5,000 employees
Product analytics platform for user behavior
Compensation Overview
$167k - $230k/yr
San Francisco, CA, USA
In Person
 Software Engineering (1) |
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- Strong backend or distributed-systems engineering experience, ideally touching OLAP databases, query engines, or data infrastructure.
- Experience with SQL, query planning and execution, or building APIs that many other engineering teams depend on.
- Ability to reason about tradeoffs between flexibility, performance, and ease of use and make deliberate decisions.
- Track record of owning ambiguous, cross-team projects end-to-end rather than only executing well-scoped tickets.
- Strong cross-functional collaboration skills.
- Design and build core parts of the query and compute engine that powers analysis across Amplitude's product suite.
- Evolve the compute API and semantic layer so that other engineering teams can build features on top of it and it can support a more generic table.
- Help unify the core data model, including how non-event data such as profile properties and lookup tables is represented alongside event data.
- Improve the performance, reliability, and scalability of query planning and execution on the Amplitude query engine.
- Partner with teams across Session Replay, Experiment, CDP, Query, and frontend to understand their needs and shape the compute layer around them.
- Own projects end-to-end, from design through rollout.
- Experience with large-scale event or time-series data systems.
- Experience designing semantic layers, object-relational mappings, or other data-modeling abstractions.
- Familiarity with columnar databases or OLAP query engines.
- Experience integrating a data platform with external tools or artificial intelligence or agent workflows.
Amplitude provides product analytics tools that help teams understand how users interact with their products. It tracks product usage, measures the impact of new releases, and maps user journeys to identify friction points and improve retention. The platform works by collecting event data and user properties, then offering dashboards, funnels, retention cohorts, and path analysis. It integrates with platforms like AWS, Braze, Segment, and Snowflake, and is delivered via a subscription model with tiered features. Amplitude differentiates itself through deep, product-focused analytics that emphasize user behavior, journey analysis, and retention, plus strong integrations to fit into existing tech stacks. Its goal is to help businesses make data-driven product decisions to grow engagement and retention across SaaS, e-commerce, media, gaming, and fintech customers.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
San Francisco, California
Founded
2012
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Simplify's Take
What believers are saying
- Aug. 5, 2026 revenue reached $100.9 million, up 21%, and ARR hit $410 million.
- Enterprise customers drove 69% of ARR, rising from roughly 60% two years earlier.
- Q2 free cash flow hit $23.7 million, while RPO climbed 35%.
What critics are saying
- Gross margin fell to 71% on Aug. 5, 2026 from AI inference and Statsig hosting.
- Amplitude still reported a $35.2 million GAAP operating loss in Q2 2026.
- If AI features fail to monetize, Amplitude becomes a low-margin analytics utility.
What makes Amplitude unique
- Aug. 13, 2026 Code Mode runs SQL and Python inside Amplitude for analysts.
- Aug. 13, 2026 Data Assistant Agent audits taxonomy, metadata, and event quality in chat.
- Statsig adds experimentation and feature management, letting Amplitude sell a broader platform.
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Benefits
Parental Leave
Wellness Stipend
Unlimited PTO
Stock Exercise Window
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 0%2 year growth
↓ -1%Amplitude names Angela Ferrante as SVP marketing. Amplitude has appointed Angela Ferrante as Senior Vice President of Marketing, adding a new senior marketing leader as the company continues to navigate an evolving digital analytics and product intelligence landscape. Ferrante brings experience across marketing, technology, and customer-focused growth. In her new role, she will lead Amplitude's marketing organization and contribute to the company's broader marketing strategy. Her appointment comes as businesses increasingly rely on digital product data to understand customer behavior and improve digital experiences. As organizations collect more information across websites, applications, and other digital touchpoints, marketing teams are also taking a greater interest in how product and behavioral data can inform customer engagement. The role of marketing leadership in the technology sector has also expanded. Beyond brand and communications, marketing executives are increasingly involved in positioning products, understanding customer needs, supporting go-to-market strategies, and connecting data-driven insights with business objectives. Ferrante's move to Amplitude comes against this backdrop. Her responsibilities will include guiding marketing efforts while working within an industry where analytics, experimentation, artificial intelligence, and digital customer experiences are becoming increasingly interconnected. The appointment also reflects the continued movement of experienced marketing executives into leadership roles at technology companies. As competition grows across the software and digital experience markets, companies are placing greater emphasis on marketing leaders who can connect technology with practical business outcomes. For the broader MarTech industry, the appointment highlights the continued importance of marketing leadership as companies work to connect product data, customer behavior, and business strategy in an increasingly digital environment.
Building got faster. Knowing what worked didn't. Code Mode and Data Assistant Agent help teams reason through what happened, trust the data behind it, and decide what to do next. Aug 13, 2026 Every product runs the same loop: build it, ship it, measure what happened, then use what you learn to build the next thing. The first half of that loop has become increasingly automated. CI/CD ships code. Feature flags control rollouts. AI can write, test, and iterate alongside developers. But turning what happens next into the right next move still depends heavily on human judgment. That judgment is the next thing to automate. Knowing why a metric moved, whether it matters, and what to do next requires more than access to data. It requires two things: the ability to reason through the context, and confidence that the underlying data is trustworthy. As more decisions shift from humans to agents, both become increasingly important. An agent that reasons well from bad context (or bad data) can still confidently make the wrong call. In Anthropic's June 2026 Economic Index report, researchers asked Claude users what they believed AI would never be able to do. The most common answers pointed to the same thing: judgment, contextual awareness, and situational reasoning - knowing what a situation calls for. Amplitude, Inc. see that as the next problem to solve: helping teams make better decisions with better context and more trustworthy signals. Today, Amplitude, Inc. is introducing two AI capabilities built for that problem: Code Mode and Data Assistant Agent. Code Mode helps teams reason more deeply about what their data shows: what changed, why it matters, who's affected, and what to do next. Data Assistant Agent helps make the data behind that reasoning easier to trust by identifying and prioritizing data-quality issues. Answer the questions behind your metrics. Most product teams can see when a metric moves. The harder questions come next: Why did it move? Which users drove the change? What behaviors predict what happens next? Did the thing Amplitude, Inc. shipped actually make a difference? Answering those questions often means exporting data, writing custom SQL or Python, or waiting for help from a data scientist. Code Mode brings that work directly into Amplitude. It runs SQL and Python against the behavioral data already in Amplitude, letting teams investigate questions that go beyond a standard chart without leaving their workflow. Teams are already using Code Mode to uncover hidden segments and behavioral patterns, compare journeys across cohorts, build custom visualizations, and catch discrepancies between systems that neither flags on its own. That means teams can move beyond questions like "How many people used this feature?" and start asking: * Which behaviors predict long-term adoption? * Where do different user segments get stuck? * Did this launch actually improve retention? * Which users are most likely to benefit from an intervention? And because every query and validation step is logged along the way, the analysis can be inspected, challenged, and rerun. Teams don't have to take an AI-generated conclusion on faith. Available to all Free, Plus, and Growth customers, Code Mode brings deeper analysis into Amplitude so teams can move from signal to explanation to opportunity without exporting data or waiting on a separate analysis cycle. Build a trusted data foundation. Deeper reasoning only works if the data underneath it can be understood and trusted. If event names are unclear, definitions are missing, similar behaviors are tracked in multiple ways, or important context lives only in someone's head, humans and AI can interpret the same signals differently. As more analysis shifts to agents, those ambiguities become more consequential: AI can only reason from the context your data provides. And it isn't hypothetical. In Hex's 2026 State of Data Teams survey, data quality and lack of trust was the biggest barrier data leaders cited to scaling AI - named nearly twice as often as cost, skills, or tooling combined. Data Assistant Agent expands Data Assistant with new intelligence, a broader set of prioritized data-quality recommendations, and an interactive experience for investigating and acting on those recommendations in chat. It reviews taxonomy, metadata, usage patterns, and project context to identify unclear, duplicated, or undefined events and properties. Then it explains why those issues matter and recommends improvements that make Amplitude data more trustworthy for both people and agents. Teams can: * Run an AI-specific audit * Investigate taxonomy issues * Ask for prioritization * Ask for explanations * Draft metadata improvements Now available to all Plus, Growth, and Enterprise customers with AI features enabled, Data Assistant Agent ensures teams adopting AI-powered analytics have reliable data for both humans and agents to make the right decisions about your product. Close the loop from measurement to action. AI has accelerated how products get built and shipped. Now the rest of the product development loop needs to catch up. Code Mode and Data Assistant Agent tackle the two things AI needs to make better decisions from product data: the ability to reason deeply about what the signals mean, and a data foundation reliable enough to reason from. One helps uncover what happened, why it happened, and what to do next. The other helps identify and improve the data-quality issues that could undermine those conclusions. Together, they turn measurement from the end of the process into what it was always supposed to be: the beginning of what you build next. Carmen DeCouto Director of Product Marketing, Amplitude Carmen DeCouto is a Product Marketing leader at Amplitude. She's launched AI products, built growth programs across the full user lifecycle, and made a career out of translating the technical into something people actually care about. With nearly a decade in data and analytics, she's developed a sharp instinct for where the industry is heading and how to build for it.
Amplitude conference: CFO sees platform, enterprise push and AI fueling growth. August 11, 2026 Key points. * Platform expansion and enterprise sales have accelerated Amplitude's growth: enterprise customers now generate 69% of ARR, up from about 60% two years ago, while quarterly ARR growth reached 22% including Statsig. * A simplified pricing and packaging model is encouraging broader adoption of Amplitude's modules, with roughly 70% of second-quarter transactions using the new structure and customers able to add capabilities through incremental spending. * AI is creating future monetization opportunities through products such as AI Feedback, Agentic Analytics and Wave, while contracted business supports management's 21% growth guidance. Higher data usage is pressuring margins in the near term, but the company views it as a foundation for longer-term revenue growth. * MarketBeat previews the top five stocks to own by September 1st. Amplitude NASDAQ: AMPL CFO Andrew Casey said the company's recent growth acceleration has been driven primarily by an expanded product platform and a greater focus on enterprise customers, with artificial intelligence initiatives adding further potential revenue opportunities. Speaking at the 27th Annual KeyBank Capital Markets Technology Leadership Forum, Casey said Amplitude had been focused on two major priorities when he joined the company about two years ago: building applications around its core product analytics offering and increasing its sales to enterprise clients. "Both strategies had not made a whole lot of progress" at the time, Casey said. Since then, the company has developed and acquired capabilities including experimentation and Session Replay, then integrated them into a more cohesive platform. The approach is intended to streamline workflows and data taxonomy while encouraging customers to consolidate more of their requirements onto Amplitude's platform. Enterprise mix and growth. Casey said enterprise customers represented about 60% of Amplitude's annual recurring revenue when he joined, compared with 69% currently. He attributed much of that shift to selling a broader set of capabilities to larger organizations. Amplitude was growing at roughly 6% when Casey arrived, he said. In the most recent quarter, the company's ARR grew 22% including Statsig, the experimentation-focused business Amplitude acquired. Casey said the company's underlying growth strategy was progressing even apart from its AI initiatives. "Even if you took out all the things that Amplitude's doing today in AI and said, 'Would you still be growing?' I'd say we are, we would," Casey said, citing the company's platform and enterprise-sales efforts. Pricing overhaul aims to increase adoption. Casey highlighted pricing and packaging changes as a major contributor to recent progress. He said Amplitude's prior model had been designed around individual products, each with separate usage meters, price curves and value propositions. That structure created friction for sales teams and customers seeking to adopt additional modules, he said. Under the revised system, Amplitude retained event volume and data ingested into the platform as its primary meter, noting that 86% of its installed base already used that model. The company added standardized volume-based discounting and made it easier for customers to try modules before purchasing them. Discover more ETF screener access Company News Customers can add core modules through an uplift to their existing spending rather than navigating separate meters and pricing structures, Casey said. He added that approximately 70% of transactions in the second quarter used the new pricing and packaging. The company has also adjusted sales incentives to support a more balanced mix of new customer wins and expansions. Casey said Amplitude had moved from a mix of roughly 30% new-logo business and 70% expansions to about 40% new logos and 60% expansions, with a longer-term goal of reaching a more even balance. AI strategy and monetization. Amplitude initially emphasized AI features as a way to make its platform easier to use and broaden adoption rather than immediately charging for all AI functionality, Casey said. Global Chat and Model Context Protocol, or MCP, capabilities are designed to provide a natural-language interface for users and expose the platform's different modules. While those capabilities have increased inference costs, Casey said they are helping introduce customers to other products. The company expects to charge incrementally for offerings including AI Feedback, Agentic Analytics and Wave, which it demonstrated during its latest earnings call. Casey said a customer using the core platform and subsequently adding all core modules could see spending increase from "$100" to "upwards of 250" in his illustrative example. Customers using the Global Agent would need to become paying users of underlying modules after introductory trials, he said. Casey also said Amplitude's remaining performance obligations have grown more than 30% for six consecutive quarters, which he described as a foundation for future revenue growth. He said he was "pretty confident" in the company's 21% growth guidance because of that contracted business and the company's visibility into demand. Margins, data usage and long-term vision. Addressing profitability, Casey said higher data-ingestion volumes have pressured margins because ingestion is a significant cost component. He said the issue is volume rather than rising per-unit ingestion costs, and added that customers are using more than 80% of their contracted entitlements, compared with levels in the 60% range when he joined. Casey said increased usage should ultimately support monetization, though there can be a lag between higher data ingestion and revenue. He also said the company expects to benefit over time from improved economics in its Amazon Web Services contract, which he renegotiated about a year ago. Looking ahead, Casey said Amplitude's vision extends beyond product analytics. He described the company as seeking to become an "observability instrumentation layer" for software experiences, including products, websites, mobile applications, kiosks and agentic interactions. He compared the concept broadly with observability platforms' monitoring of infrastructure and applications, while emphasizing that Amplitude is focused on the application and digital-engagement layer. About Amplitude (NASDAQ:AMPL). Amplitude, Inc is a software company specializing in digital analytics and product intelligence solutions for businesses seeking to optimize user engagement and drive growth. Its core offering, the Amplitude Analytics platform, enables customers to collect and analyze behavioral data from web and mobile applications in real time. The platform provides advanced segmentation, funnel analysis, retention tracking and pathfinding tools that help product, marketing and data teams understand user journeys, identify friction points and measure the impact of new features. Founded in 2012 by Spenser Skates, Curtis Liu and Jeffrey Wang, Amplitude is headquartered in Redwood City, California, with additional offices spanning North America, Europe and Asia. This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest reporting and unbiased coverage. Please send any questions or comments about this story to [email protected]. Continue following MarketBeat Before you consider Amplitude, you'll want to hear this. MarketBeat keeps track of Wall Street's top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on... and Amplitude wasn't on the list. While Amplitude currently has a Moderate Buy rating among analysts, top-rated analysts believe these five stocks are better buys. MarketBeat just released its list of the 7 hottest IPOs expected to hit Wall Street in 2026. See which companies are preparing to go public and why investors are watching closely.
Amplitude reported second-quarter revenue of $100.9 million, beating analyst estimates of $98.16 million and marking 21.2% year-on-year growth. The digital analytics platform provider also exceeded expectations on adjusted earnings per share, posting $0.01 versus the anticipated -$0.01. The company raised its full-year revenue guidance to $409.2 million from $400 million, a 2.3% increase. Management also boosted full-year adjusted EPS guidance by 55.6% to $0.07 at the midpoint. Next quarter's revenue guidance of $106.8 million came in 4.3% above analyst expectations. Free cash flow improved to $23.74 million from -$13.18 million in the previous quarter. Annual recurring revenue reached $410 million, growing 22.4% year-on-year, whilst net revenue retention rate was 105%.
Amplitude's shares have fallen 5.1% over the past six months, underperforming the S&P 500's 8.2% gain. The digital analytics company is trading at $9.70. The company's net revenue retention rate stood at 106% in Q1, meaning existing customers increased their spending by 6% year-over-year. However, this lags behind top SaaS businesses that routinely achieve retention rates above 120%. Amplitude's cost structure has resulted in an average operating margin of negative 26.9% over the past year. The unprofitable company continues spending heavily to capture market share, raising questions about sustainability if it scales back investments. The article suggests caution about including Amplitude in portfolios, citing customer churn concerns, operating losses, and mediocre free cash flow margins as key weaknesses.