Find your next opportunity
Browse fresh openings from leading companies and apply with a resume tailored to the role.
Browse expert rolesBrowse expert rolesBrowse fresh openings from leading companies and apply with a resume tailored to the role.
Browse expert roles12166 openings
3057-3064 of 12166
Darkroom
Free to start · No card · 5 credits the moment you sign up
We're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Shadow is the AI coordination layer — providing shared AI memory, centralized agent control, and model orchestration for marketing teams.
Product Ownership You'll ship production code daily and help steer key product and technical decisions.
Shape the Engineering Culture You'll influence how we work—tools, processes, standards, and hiring.
Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands—some doing $80M–$500M in revenue.
Shadow is built alongside Darkroom — a performance marketing agency that's been operating for 10 years, employs 100+ people, runs 100+ clients at a time, and has worked with over 1,000 consumer brands. The agency is both our proving ground and our first user, which means the data you build with is real marketing data at real volume from day one — not a synthetic demo.
This is a fully remote role supporting a team in the EST time zone (9 AM–5 PM EST).
You'll sit squarely at the intersection of back‑end and front‑end, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features end‑to‑end, especially our AI/ML‑powered experiences, while mentoring peers and driving architecture decisions.
Languages & Frameworks: Python, Node.js, React (TypeScript)
Datastore: PostgreSQL
Cloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes
ML/AI: LLMs, RAG, prompt engineering
Architect and implement full‑stack features, from database schema to React components, optimized for scale and reliability.
Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP.
Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fine‑tuning pipelines.
Ensure front‑end and back‑end systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts.
Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production‑grade code.
Monitor performance, reliability, and security.
Mentor junior engineers through code reviews, architecture reviews, and shared best practices.
5+ years of professional software engineering experience with end‑to‑end ownership in a full‑stack role.
Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
Able to be hands‑on with GCP, containerization (Docker/K8s), and building/supporting high‑traffic systems.
Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.
Familiarity or strong interest in working with MCP servers.
Exceptional problem‑solving skills and a product mindset: you think deeply about UX, performance, and business impact.
You sweat both technical details and end-user experience.
Experience with multi‑step or agentic AI workflows.
Background in AI infrastructure or tooling companies.
Contributions to open‑source AI/ML projects.
Unlimited PTO + Local holidays (Relevant to your hub): Rebooting is part of the work. Take the time you need to stay sharp.
Remote-First Culture: Many roles are fully remote. Employees based in or near our New York or Lisbon HQs are expected to work hybrid with weekly in-office time. Hub locations include Brazil and Spain.
Parental Leave: Flexible parental leave to support new parents during this important transition.
Growth: Our interdisciplinary model gives every employee exposure far beyond their core role. Grow your skills, expand your influence, and stay at the forefront of the industry.
We are an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Originally posted on Himalayas
Start with a role or skill you want to use in your next job. Use the location and role filters to narrow the results, then open a listing to review the description. A title alone rarely explains the level of responsibility, working arrangement, or experience a team needs. Compare those details before deciding which opportunities deserve a tailored application.
Employers use different titles for similar work. If an exact phrase produces no results, try a shorter title, a core skill, or an alternative name for the role. Remove one filter at a time to understand which requirement is narrowing your search. A broader search can reveal suitable work without asking you to change your actual qualifications.
For each promising listing, read the responsibilities and separate essential requirements from preferences. Note the location, schedule, employment type, and compensation when provided. Missing details are questions to confirm with the employer. A remote opening may still require a particular country, work authorization, or time-zone overlap, so check the full posting before treating it as a location-independent opportunity.
Choose a few examples that demonstrate the skills this employer names. Explain your contribution and its outcome, using accurate numbers where available. Put the most relevant experience first and keep your resume easy to scan. Avoid adding technologies, qualifications, or achievements simply because they appear in a description. Your application should make your existing strengths easier to understand.
Follow the employer’s instructions for resumes, cover letters, work samples, and screening questions. Review the exported file before submitting it: confirm that contact details are correct, text can be selected, and links reach the intended pages. A resume check can help you spot unclear writing before you apply. Its feedback is advisory and does not predict a hiring decision.
Listings are collected from external sources and may change after they appear here. The employer or recruiting destination controls whether applications are open. If an original link is unavailable, check the company’s careers page for the title or move to another opening. An employer website link is a place to check current vacancies, rather than confirmation that a particular job is still accepting applications.
Keep a simple record of the company, role, job reference, application date, and documents you sent. Record any follow-up instructions and the next action you plan to take. This makes it easier to prepare for interviews, compare opportunities, and avoid applying repeatedly to the same opening through different boards. Review your shortlist as employers update their listings and prioritize opportunities with clear requirements that match the work you want to do.