Staff Software Engineer

Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences. Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work. With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!How you will make an impact: Our Data In Flight (DIF) team owns the core pipelines that ingest and route user and event data into Iterable, powering identity, segmentation, and real-time personalization. We are building a multi-tenant data platform that application teams can build on top of, with clear contracts, SLOs, and guardrails. Our product and our Elasticsearch clusters are multi-tenant, and we run Elasticsearch on Kubernetes using Elastic Cloud on Kubernetes (ECK). We’re looking for a Staff Software Engineer with a track record of operating Elasticsearch-backed data platforms in multi-tenant SaaS. You’ll be a hands-on IC who both designs distributed systems and acts as a platform “product owner” for app teams: understanding their needs, shaping the platform roadmap, and defining stable interfaces between product and data infrastructure. How you will make an impact: Own and evolve core Data In Flight services (ingestion, user and event APIs, identity, system events) with a focus on reliability, performance, and cost. Lead the Elasticsearch strategy for our multi-tenant live user and event data: index and mapping design, shard strategy, and safeguards across shared clusters. Design and enforce platform contracts (APIs, data models, SLAs, and usage limits) that let product teams move quickly while keeping the data platform safe and scalable. Work across other data and application teams on initiatives such as Elasticsearch upgrades, guardrails, resharding, and event retention. Provide senior technical leadership during incidents and reviews, turning operational learnings into durable platform improvements. Mentor engineers on distributed systems, data modeling, and pragmatic use of Elasticsearch. What you'll bring: You likely have many of the experiences below, but not necessarily all of them: Hands-on Elasticsearch expertise in production: Supporting customer-facing features or platforms backed by ES Designing schemas and queries for high-cardinality, multi-tenant workloads Operating large clusters (capacity planning, scaling, incident response) Multi-tenant platform experience: Building shared data services used by multiple product teams Implementing rate limits, quotas, and noisy-neighbor protections Thinking in terms of contracts and SLOs, not one-off integrations Strong distributed systems background: JVM-based services (Scala/Java) and event-driven or streaming architectures Comfort with modern cloud infrastructure (AWS or similar), messaging, and caches Staff-level impact and collaboration: Leading cross-team projects from design through rollout Translating technical decisions into clear business and product trade-offs Clear written communication (RFCs, design docs, post-incident reviews) Nice To Have: Experience with Scala and the Play framework or similar JVM stacks. Prior work on core user data platforms (identity, profile stores, event pipelines, or CDP-like systems). Exposure to FinOps / infra cost optimization in data-heavy systems. Experience in MarTech / AdTech or other high-volume, low-latency data domains. Perks & Benefits: Competitive salaries, meaningful equity, & 401(k) plan Medical, dental, vision, & life insurance Balance Days (additional paid holidays) Fertility & Adoption Assistance Paid Sabbatical Flexible PTO Monthly Employee Wellness allowance  Monthly Professional Development allowance  Pre-tax commuter benefits Complete laptop workstation The US base salary range for this position at the start of employment is $156,00 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations. Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.Recruitment Disclaimer: Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not: Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc. Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.). Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable. You may see all job vacancies on our official Iterable channels: Official Iterable website, Careers page: https://iterable.com/careers/ Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/ Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer. Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.