
Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.

Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.
What they do: AI-native job platform offering a proactive "career agent" that finds, customizes, and can submit applications for job seekers
Founded / HQ: Founded 2023; headquartered in Santa Clara, California
Recent funding: Seed round $3.2M announced June 24, 2025 led by Translink Capital
Traction: Reported user base of ~520,000 (company blog)
Job search efficiency and application automation for job seekers (including international applicants).
2023
Software Development
$3.2M
Participation reported from HR Tech Investments
Verified Job On Employer Career Site
Job Summary:
Meter is a company focused on unifying the full networking stack and making it autonomous through their neural network-driven system, Meter Zero. They are seeking a Backend Engineer to design and implement core data interfaces, ensuring efficient data access and infrastructure for model development and real-time inference.
Responsibilities:
• Design and implement the Zero API: a unified interface for accessing training, evaluation, and deployment data across raw, transformed, and feature-engineered layers
• Ensure backwards compatibility and feature versioning across constantly evolving schemas
• Build scalable pipelines for ingesting, transforming, and serving petabytes of data across Kafka, Postgres, and Clickhouse
• Create CI/CD workflows that evolve the API in lockstep with changes to the underlying data schema
• Enable fine-grained querying of historical and real-time data for any network, at any point in time
• Help define and enforce the principle of "smart data, dumb functions": doing as much as possible in the data layer to keep downstream code minimal
• Collaborate with modelers to co-design training and evaluation pipelines that are reproducible, debuggable, and fast
• Own performance across key endpoints to meet real-time serving constraints
Qualifications:
Required:
• Experience designing large-scale data infrastructure, ideally across batch and streaming modes
• Deep thinking about schema design, versioning, and data quality
• Care about making systems simple to use and hard to misuse
• Enjoy partnering closely with research or modeling teams
• Thrive in early-stage environments and like building from scratch
Preferred:
• Experience with Kafka, Postgres, Clickhouse
• Experience with Python, Go
• Experience with AWS, Azure
Company:
Meter provides managed network services with proprietary hardware and software, simplifying IT and connectivity. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Meter has a track record of offering H1B sponsorships.