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Doordash Support Chat Jobs (Flexible Options) Near Me

Senior Forward Deployed Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance ...

Senior Forward Deployed Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance ...

Founding Engineering Manager

New York, NY · On-site

$210K - $400K/yr

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! The Role We ...

Social Content Manager

San Francisco, CA · On-site

$100K - $180K/yr

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance ...

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! About the ...

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! About the ...

$150/day

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! About the ...

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! About the ...

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! About the ...

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply! About the ...

Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high‑stakes regulated environments where accuracy and compliance ...

$60K - $69K/yr

... Doordash, xAI, and Omaha Steaks handle all kinds of phone operations, from customer support to ... chat. #J-18808-Ljbffr

Showing results 41-60

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Founding Backend Engineer

New York, NY • On-site

Fuku
Food Services and Drinking Places • 51 - 200 employees

$160K - $200K/yr

Full-time

Medical, Vision, Life, Retirement

Re-posted 6 days ago


Job description

Founding Backend Engineer
Company Overview
Client is a fast-growing social shopping platform co-founded by Phoebe Gates and Sophia Kianni. The platform currently serves over 350,000 users and boasts a 90% retention rate. Phia combines community, personalization, and AI-driven recommendations to revolutionize online shopping. Backed by early investors, Phia offers the opportunity to join a small, mission-driven founding team and help shape the future of social commerce.
Key Job Information

  • L
  • ocation: San Francisco or New York City (must relocate to NYC within a few months)
  • W
  • ork Type: In-person, full-time
  • E
  • xperience Required: 3+ years
  • S
  • alary Range: $160,000 - $200,000 per year
  • V
  • isa Sponsorship: H-1B, O-1, OPT
    Role Summary
    As the Founding Backend Engineer, you will own and scale Client's data infrastructure, which powers search, personalization, and recommendations. You will work closely with the CTO and ML engineers to design robust pipelines, architect backend systems, and establish best practices for backend engineering. This is a founding-level opportunity with significant product and technical ownership.
    Responsibilities
  • A
  • rchitect and implement backend systems for Client's recommendation engine and shopping experience.
  • D
  • esign and maintain data pipelines for ingesting and processing large-scale datasets from multiple sources.
  • B
  • uild reusable APIs and microservices for core product features.
  • I
  • ntegrate machine learning models into production in collaboration with the ML team.
  • E
  • nsure system reliability, scalability, and maintainability across the backend stack.
  • D
  • efine and enforce backend engineering standards and technical best practices.
    Requirements
  • M
  • inimum of 3+ years of backend engineering experience.
  • S
  • trong proficiency in Python and cloud platforms (AWS/GCP).
  • H
  • ands-on experience building data pipelines and microservices architectures.
  • F
  • amiliarity with Airflow, gRPC, GraphQL.
  • D
  • eep understanding of search and vector database technologies, including:
    - HNSW (Hierarchical Navigable Small World)
    - OpenSearch / Elasticsearch
    - Approximate Nearest Neighbor (ANN) frameworks
  • E
  • xcellent system design and problem-solving skills.
  • M
  • ust be willing to work in-person in New York City (relocation support provided).
    Benefits & Perks
  • C
  • ompetitive salary plus founding equity package.
  • C
  • omprehensive health, vision, and life insurance.
  • 4
  • 01(k) with company matching.
  • F
  • ree daily lunches, snacks, and late-night Ubers.
  • O
  • pportunity to work directly with founders and early team members, shaping product and technical direction.
    Interview Process
    1. Intro Chat with Head of Recruiting
    2. Technical Interview / Intro Chat
    3. Coding Interview
    4. CTO Interview
    5. Onsite Interview (technical + cultural)
    6. Offer Extended
    7. Hired
    Green Flags (Preferred Qualifications)
  • E
  • xperience at large tech companies (Meta, Google, Pinterest, etc.) and scrappy startups.
  • F
  • amiliarity with Ray, Dask, and Kubernetes.
  • B
  • ackground in machine learning or handling large datasets.
  • P
  • roven ability to establish technical best practices and standards.
  • P
  • assion for building reliable, high-performance systems that drive business impact.
    Red Flags (Disqualifiers)
  • O
  • nly worked at large tech companies (Meta, Google, etc.) with no startup experience.
  • F
  • requent job hopping (tenures less than 6 months).
  • P
  • rimarily management or non-hands-on engineering roles.
  • U
  • nwilling to relocate to New York City within a reasonable timeframe.
    Ideal Companies
    Apple, Meta, Amazon, Pinterest, Google, Robinhood, Ramp, Uber, Lyft, DoorDash, Spotify


    Fuku logo

    About Fuku

    Sourced by ZipRecruiter

    Industry

    Food services and drinking places

    Company size

    51 - 200 Employees

    Headquarters location

    New York, NY, US

    Year founded

    2015