Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
Задачи
Design and implement high‑throughput data pipelines and streaming systems with strong SLOs, clear runbooks, and actionable telemetry
Build and operate real‑time and batch ingestion infrastructure using tools like Kafka, Flink, and Airflow
Own our analytical data layer — schema design, query performance, and cost optimization across ClickHouse, BigQuery, or similar
Partner with research and product teams to architect data solutions, evaluate performance, and scale new features
Tune pipeline and query latencies: optimize data paths, apply smart caching/partitioning, and hit tight p95/p99 targets
Lead infrastructure‑as‑code (Terraform) and GitOps practices for data systems
reduce drift with reusable modules and policy‑as‑code
Participate in on‑call and drive down toil through automation and elimination of recurring data issues
Your background looks something like this
5+ years building and operating production data infrastructure at scale
Clear written communication and the ability to turn ambiguous data requirements into simple, reliable designs
Требования
Hands-on experience with Tier 1 data technologies: ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt
Proven track record meeting high availability and low latency targets across streaming and batch workloads
Будет плюсом
Experience with CDC tooling (Debezium) and orchestration frameworks (Airflow, Dagster, or Prefect)
Familiarity with Spark or Dask for large‑scale data processing
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
Experience being an early data/platform/infrastructure engineer at another company
Strong Kubernetes experience (GKE/EKS/AKS) and multi‑cloud exposure (GCP, AWS, Azure)
Experience with customer‑managed deployments
COMPENSATION
This range reflects the expected compensation for this role
Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact
Условия
We proudly offer the following benefits for our full-time employees
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot
Monthly stipend to support your wellness, lifestyle, and work-life balance
Daily lunches and snacks in the office to keep you at your best
Take what you need vacation policy (subject to local requirements
UK employees receive 25 days of statutory leave)
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans
200K – $400K + Offers Equity
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States
Паспорт вакансии
История публикации
Появилась в Вакандии29 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 29 дней назад
Среди похожихНет данных165 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдSeniorвычитано из текста вакансии
Формат работыОфисвычитано из текста вакансии
ГеографияНью-Йорк, СШАвычитано из текста вакансии
Зарплата≈ 20 000 USD в месяцнаша оценка, в вакансии не названа
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Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
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Проверка Вакандии
Источники и свежесть
Тип источника
Карьерный сайт работодателя
Найдено публикаций
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ashbyПовторная публикация · 2026-05-29
ashbyОсновная публикация · 2026-05-29
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Работодатель
Decagon
43 активных вакансий · вилка работодателя указана в 2%