Jobs at Photoroom

As a Business Development Representative, you'll generate qualified leads through targeted outreach, qualify inbound leads, and collaborate closely with the sales team to meet pipeline targets using various tools.

Establish and lead product analytics: analyze feature success and retention, design and analyze A/B tests, build analytics frameworks and event taxonomy, partner with Product/Engineering/Design, and enable PM self-service through tooling and documentation.

As a Business Development Representative, you'll conduct outbound campaigns, qualify leads, manage pipeline visibility, and collaborate with sales and marketing teams to generate results.

The Marketing Operations Manager will optimize enterprise marketing infrastructure, manage campaign operations and attribution, and ensure lead management within HubSpot, enhancing marketing performance and data integrity.

The role involves architecting and developing cross-platform libraries in Rust and other languages, contributing to both mobile and web applications. Responsibilities include delivering complex features and ensuring a cohesive user experience across platforms.

As a Business Development Representative, you will generate leads, qualify inbound leads, and work closely with sales teams to ensure deal progression while using tools like Apollo and HubSpot.

Own and scale Photoroom's Meta paid channel, managing a 7‑figure monthly budget to hit ROAS and LTV:CAC targets. Lead a high-velocity testing engine across audiences, creatives, and campaign structures, partner on attribution and incrementality, and translate performance signals into creative hypotheses. Build automations and AI-native tooling to speed UA workflows and align channel decisions with unit economics.

Lead the self-serve product experience for SMB e-commerce sellers: define problems, build and execute roadmap, convert AI capabilities into features, drive usage and revenue, work closely with engineers, designers, and researchers, and use data and regular user interviews to inform decisions.

Lead activation, monetization, and retention for SMB e-commerce across mobile and web. Own growth metrics end-to-end, run high-velocity A/B testing and experiments, design paywalls/pricing/onboarding, partner with User Acquisition and core product, and use SQL and analytics to find insights and ship features that move KPIs.

Lead strategy and scaling of Photoroom's GenAI platform: build model training, serving, orchestration, evaluation and inference infrastructure; partner with research to productionize models; drive reliability, cost efficiency and speed; and hire and grow a multidisciplinary ML and platform engineering team to accelerate AI product innovation.

Provide end-to-end GDPR and privacy compliance, own data subject requests and compliance documentation, embed privacy into product and ML workflows, lead commercial contracting for sales, support other legal needs (trademarks, corporate, labor), and potentially grow into the DPO role.

You will lead growth marketing initiatives, design and execute acquisition experiments, analyze user journeys, and drive revenue growth for the SMB segment.

Lead People Operations transformation and strategic HR projects: evaluate and consolidate HRIS/vendor stack, document and improve HR processes, build levelling/compensation frameworks and geographic salary bands, enable managers, automate workflows, and partner with leadership to scale People functions for a growing international startup.

Lead Account-Based Marketing and global events for Enterprise, developing ABM strategy, target account lists, and event programs (3rd-party, owned, flagship). Own execution, KPIs, and pipeline impact while collaborating with sales, revenue operations, brand, and agencies to scale referrals, events, and pipeline generation.

Own the full enterprise sales cycle for API and web app offerings: discovery, qualification with MEDDPICC, proposal, negotiation and close. Build and manage pipeline, collaborate with BDR/Marketing/Product/ML, track activity in HubSpot, contribute to sales playbooks, and travel to meet strategic accounts.

Own and evolve ML inference infrastructure serving millions of daily requests. Design cloud-agnostic, highly available GPU-backed systems, implement autoscaling, load balancing, queuing and orchestration, monitor performance with Datadog, optimize for low-latency and cost, manage incidents, and collaborate with ML, Web, Mobile and Product teams to improve deployment workflows and reliability.