About StatusphereStatusphere is the only influencer marketing solution that guarantees thousands of posts and automates 100% of campaign execution through StevieOps™ — our AI campaign operator. From creator sourcing to fulfillment, contracts, usage rights, and reporting, campaigns run end-to-end and get smarter with every post.
A venture-backed, remote-first startup trusted by over 400+ brand clients — including Covergirl, Fenty, Aura Frames, Fever-Tree, and Swiffer, recently raised $5M in seed funding and is on track toward a $50M Series A.
Tech stack: JavaScript / TypeScript, React, Node, Express, Material UI, PostgreSQL, AWS.
Why Join● Work on greenfield projects while also improving and scaling an existing product.● Directly influence AI-powered features: video analysis, content classification, and smarter creator-brand matching.● Join a team where every engineer owns projects end-to-end.● Be part of a high-growth startup doubling its engineering team in the next 6 months.
Role OverviewWe’re looking for a Senior Fullstack Engineer who thrives in startup environments, takes ownership from idea to delivery, and enjoys solving complex product challenges.
You’ll work directly with Head of Engineering and a small, fast-moving team to● Ship new product features and improve core systems in React + Node.js.● Design and scale AI-driven workflows (automated video validation, creator content categorization, brand-creator matchmaking).● Set engineering standards: improve processes, select the right tools, and raise the technical bar.● Collaborate cross-functionally with product and design on high-impact projects.● Participate in and lead code reviews, ensuring best practices in architecture, security, and performance.● Mentor teammates, support onboarding, and foster a strong engineering culture.● Take ownership of projects end-to-end, asking clarifying questions and proposing creative solutions.
What We’re Looking For
Must-haves● 3+ years experience building scalable fullstack apps.● Strong in TypeScript, React, Node.js/Express, PostgreSQL, AWS.● Experience with AI/LLM tools (Make, n8n, AWS Bedrock, SageMaker, etc.).● Startup mindset: ownership, adaptability, and product sense.● Proven ability to deliver projects end-to-end.● Excellent communication and collaboration skills.
Nice-to-haves ● Background in mobile app development (helpful for future expansion).● Exposure to AI-driven video/content analysis.
Work Setup & Overlap● Remote-first, flexible hours.● Ideal overlap with US team: up to 2–3 PM ET (19:00-21:00 CET/CEST (Central European Time).● We use Deel for international contracting.
Interview Process 1. Recruiter Screen – culture/ownership fit, startup mindset, and role motivation. 2. Code Pairing Interview (60 min) – solve a JavaScript/React/Node problem with another engineer. 3. System Design Interview (60 min) – design a system (DB models, APIs, UI/UX tradeoffs). 4. (Optional) Team Fit interview with Head of Engineering (30 min) – to test product sense and culture alignment.
Perks● Remote-first, people-first culture.● Employee Stock Options.● Unlimited PTO.
We’d love to hear from you!

● Location: San Francisco (hybrid, 3 days/week) or remote within the USCompensation: $150K–$225K + equity
About Quintess.аіWe’re supporting a fast-growing AI startup backed by top-tier Silicon Valley investors.Their mission: build agentic AI systems that eliminate tedious admin work for industrial technicians — starting with a voice AI agent that listens, thinks, and takes action in real time.
The product integrates directly with enterprise maintenance systems (EAM/ERP), helping technicians fix complex assets faster by automating reporting, fault classification, and part ordering.They’re already live with some of the largest global rail operators in the US and Europe — and expanding rapidly.
The RoleWe’re looking for a Founding AI Engineer who combines deep technical ability with a builder mindset. As one of the first five engineers, you’ll shape the company’s AI architecture, design and deploy new features, and work directly with customers to solve high-impact real-world problems.
What you’ll do:● Build and adapt real-time AI agents for new customer use cases (often from scratch).● Design and ship RAG-powered voice flows and conversational features.● Improve the latency, reliability, and robustness of the real-time AI stack.● Partner directly with users to understand workflows and iterate fast.● Turn bespoke builds into reusable platform blueprints for scale.
What We’re Looking ForMust-have:● 4–10 years in AI / backend engineering, ideally in startups or fast-moving environments.● Strong in Python, LLM integration, and cloud deployment (AWS/GCP).● Experience building AI agents or real-time systems (speech-to-text, TTS, or streaming).● Understanding of retrieval-augmented generation (RAG) and data pipelines.● Passion for solving real problems — not just training models — and learning from users.
Nice-to-have:● Prior experience with LangChain, LlamaIndex, or voice orchestration frameworks.● Experience integrating AI into enterprise systems or industrial environments.● Early-stage / founding engineer experience.
Why This Role Is Exceptional🧠 Cutting-edge AI – work at the intersection of voice, reasoning, and real-time execution.🛠️ 0→1 Impact – shape the product and engineering culture from the ground up.🌍 Massive market – industrial maintenance is one of the last untouched by AI.🚀 Live customers, real deployments – this isn’t a demo lab; it’s production AI.
About the Process  1. You’ll go through a lean, high-signal interview flow designed for builders:  2. Intro Call – with A-Players Recruiting (45 min)  3. Deep-Dive Interview – with the CEO/CTO (60 min)  4. Short Technical Assignment – (~3 hrs, flexible)  5. Final Chat – to align on vision and ownership
📩 Apply now if you thrive on building real-time, AI-driven systems that actually do things — not just predict text.