Headquarters: New York, NY; United States (Remote) About Prove  As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, follow us on LinkedIn. Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.    Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team!  Title: Account Director, Enterprise Department: Revenue FLSA Status:  Exempt  Location: NYC Metro, Seattle Metro, LA Metro, Miami Metro, other locations considered Job Summary Account Directors own the customer relationship and revenue and are responsible for understanding customer needs, addressing concerns, and developing strategies to meet those needs. They quarterback the internal team to drive revenue growth.The client will transition to the Account Director when the customer is considered live and ramped.   Key Responsibilities: Revenue Protection and Growth Client Relationship Management: Build and maintain strong, long-lasting relationships with clients. Serve as the main point of contact, understanding their needs, and ensuring their expectations are met. Renewals: Monitor account renewals and work proactively to secure renewals on time, focus on price increases, added AGV, and up-selling additional products/services. Remain familiar with all contract terms of customers. QBRs: Organizes and hosts onsite QBRs with client executive team to align to customer goals and derive long term partnership plans Forecasting & Accuracy: Responsible for forecasting contracted and live revenue Become a trusted partner selling Prove strategic solutions that meet/exceed the business needs of the client/prospect Routinely meet or exceed sales quotas Build and maintain relationships with customers, understanding the organization& strategic initiatives in digital identity and authentication Develop a deep knowledge of how Prove solutions meet the client & use case Independently build and manage your upsell pipeline in assigned accounts Conduct discovery sessions to clearly understand the customers business needs, priorities, budget, timing and key KPIs Utilize internal resources efficiently and effectively to drive the sales process with clear thought leadership Keep the company informed on market intelligence regarding the identity verification and authentication markets Strong passion for learning our products and markets through in-house and external training Promote, maintain and enhance our cultural values of humility, passion, inclusion, and leadership Strong passion for learning about our products and markets through in-house and external training 25% travel Experience 5+ years of quota-carrying experience selling complex SaaS based solutions with a strong track record of closing enterprise-level deals over $250k in ACV/ARR Experience and relationships with financial, fintech, payments, lending, insurtech,retail, digital native and gig economy companies Sales hunter mentality and an entrepreneurial spirit Strong history of quota attainment Possesses the ability to communicate simply, articulately while exuding confidence and humility Must have the ability to tell a compelling business story, deeply understand the prospects business goals and lead a sales process Desire to understand and communicate the underlying technology to business prospects Understanding of the security ecosystem with a focus on Identity Strong prospecting, qualifying, and negotiating skills; consultative sales approach with a business solution centric mindset A self-starter. Need to have a roll up your sleeves mentality with an ability to work independently in a fast paced, high-growth environment Experience in cybersecurity, fintech, or fast-growing startup is required Experience in a high-growth tech startup. The anticipated salary pay range for Metro 2 areas for this role is $130,000-$150,000 plus sales incentive plan.The anticipated salary pay range for Metro 3 areas for this role is  $110,000-130,000 plus sales incentive plan. Offered salary will be determined by the applicant's experience, knowledge, skills, geo-location and abilitites as well as internal equity and alignment with market data.  Prove follows a market driven compensation philosophy based on geographic location and respective market rates. Job offers will be aligned to location. Please speak with your recruiter if you have questions. Prove defines: Metro 2 - NYC metro area, Seattle metro area, Los Angeles metro area, and the Miami metro area. Metro 3 - all other cities across the domestic United States, with the exception of the San Francisco Bay Area. Benefits & Perks for FTE Provers: Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan Modern Health for financial, mental, and physical wellness 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices) Unlimited Vacation and Flexible hours Comprehensive medical benefits for you and your family ️ Emotional & Physical Wellness – Access to wellness services (EAP & Prove Well-Being Reimbursement) Bottomless snacks & beverages for certain office locations Daily GrubHub stipend for lunch if coming into the office (US Offices) A great place to work and connect with other talented Provers like yourself! Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Equal Opportunity Employment:Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics  Privacy & Data Protection:When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website. To apply: https://weworkremotely.com/remote-jobs/prove-account-director-enterprise

Headquarters: Remote Research Scientist, Professional Creative Workflows<REMOTE>    About the Role We are seeking a highly motivated Research Scientist to join our Research team. The role focuses on advancing the next generation of generative AI systems for professional creative workflows, spanning image, video, 3D, vector graphics, and design. This is a general research role with room for academic publication, long-horizon exploration, and technically ambitious work, while remaining grounded in real projects with meaningful product impact. The ideal candidate can move fluidly between frontier research, rigorous experimentation, and prototype systems that inform how professional creators work with generative AI. We are looking for a broad, technically deep researcher who can combine ideas across fields and modalities, connecting concepts from areas such as computer vision, graphics, generative modeling, and design to address complex creative workflows. You will work on research that enables creators and enterprises to generate, edit, structure, refine, and reuse visual assets across modalities, supporting workflows in which different forms of media and design intent work together rather than as isolated generation tasks. Responsibilities Conduct original research in generative AI for professional creative workflows across image, video, 3D, vector graphics, and design. Develop new methods that advance the state of the art while remaining relevant to real creative and production workflows. Publish research at leading academic venues where appropriate, while also contributing to high-impact internal projects. Explore multimodal generative systems that integrate image, video, 3D, vector graphics, and design, with an emphasis on controllability, editability, and reusable asset creation. Translate research insights into prototypes, experiments, and model capabilities that can inform product direction. Work with researchers, engineers, designers, and product teams to identify important research problems with meaningful downstream impact. Design datasets, benchmarks, and evaluation protocols for professional workflows where quality, editability, consistency, brand adherence, and production usefulness matter. Stay at the frontier of generative media research and identify opportunities to combine ideas across computer graphics, vision, language, video, and creative tooling. Contribute to a research culture that values technical depth, intellectual breadth, publication quality, and practical relevance. Qualifications Strong academic research track record in computer vision, computer graphics, machine learning, generative modeling, computational imaging, visual computing, or a related field. PhD or equivalent research experience in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or a closely related discipline. Demonstrated ability to conduct original research, publish papers, and build working systems or prototypes. Experience in generative and multimodal modeling, including areas such as diffusion models, transformers, 3D generation, neural rendering, inverse rendering, video generation, image editing, controllable generation, or design automation. Broad technical background across several of the following areas: Generative image models Video generation or video editing 3D asset generation, reconstruction, neural rendering, or geometry processing Differentiable rendering, inverse rendering, materials, lighting, or relighting Vector graphics, layout, typography, or design systems Multimodal representation learning Professional media, VFX, games, e-commerce, design, or creative tooling Strong programming skills in Python and PyTorch, with the ability to implement, adapt, and extend modern research code. Ability to reason about both research quality and workflow quality, including controllability, iteration speed, editability, consistency, reliability, and integration into existing creative processes. Strong communication skills, with the ability to explain research ideas clearly to both research and product-oriented collaborators. Evidence of creative technical judgment: the ability to combine ideas from different fields into new research directions rather than only incrementally improving existing systems. Highly Desirable Publications at top-tier venues such as CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, ICML, or related venues. Research experience spanning more than one modality, especially across image, video, 3D, vector graphics, design, or multimodal generation. Experience with professional creative domains such as VFX, games, animation, product visualization, advertising, graphic design, or 3D asset production. Experience with controllable generation, layered image editing, material and lighting decomposition, multi-view consistency, relightable assets, vector-aware generation, or structured design outputs. Experience building research prototypes that influence product direction or enable new product capabilities. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.   To apply: https://weworkremotely.com/remote-jobs/stability-ai-research-scientist-professional-creative-workflows

Headquarters: Los Angeles, CA or Remote (United States) Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Audio, Video, and 3D. As the Senior Product Engineer, Growth & Lifecycle Infrastructure, you will own the ground-up build of PLG growth and lifecycle infrastructure for our music and audio products — greenfield across web, desktop, plugin, and mobile. You'll choose the stack, design the event model, wire the integrations, and run the system. The output is a measurable, attributable funnel from anonymous visitor to paying customer to expanded account. This role sits at the intersection of growth marketing, product lifecycle, and community-driven PLG — the systems, how they live inside the product, and how they drive real conversion. What you'll do… Select and own the stack for the Music & Audio vertical: CDP, product analytics, lifecycle/messaging, experimentation, warehouse, reverse-ETL, and entitlements — including writing defensible recommendations with cost model and tradeoffs Design event taxonomy with consistent schema and identity resolution across anonymous → free → paid → multi-device Build and attribute the full growth funnel across paid, organic, partner, and in-product virality Architect in-app PLG motion: viral loops, referral mechanics, upgrade prompts, and sharing hooks Define and execute lifecycle marketing strategy: segmentation, behavioral triggers, and messaging cadences across activation, habit, and expansion Ship free-to-paid logic: trial mechanics, paywalls, in-app messaging, and entitlement checks across web and native runtimes Build onboarding, churn-risk, reactivation, and win-back sequences Instrument A/B experimentation with exposure logging and statistical guardrails Own the growth dashboard: activation, conversion, ARPU, LTV, retention cohorts, and expansion rate What you'll bring… 6+ years of end-to-end ownership of product or growth infrastructure inside a B2C or PLG B2B company Deep expertise in growth marketing and product lifecycle marketing — you walk in knowing how to implement it, not just what it is Hands-on production experience across the modern martech stack: CDPs, product analytics, lifecycle/messaging, billing, reverse-ETL, and transformation layer Proven ability to ship in-app PLG mechanics where the product itself drives growth Proficiency in TypeScript, Node.js, Python, and SQL  Fluency with AI-augmented development tools in daily workflow (Claude Code, Cursor, Codex, or equivalent) Experience building event taxonomies that hold up without schema drift A history of shipping paywall and entitlement logic in production where revenue depended on it Comfort operating without a product manager: setting milestones, owning the schedule, and escalating when needed Not dealbreakers, but great if you had… Experience with B2C subscriptions in creative tools, music, or design Exposure to music or creative-platform go-to-market motions Open-source contributions to data tooling Experience as the first PLG/growth engineer at a company A track record of building in public: Product Hunt, YC network, or active presence on X or Reddit What success looks like… Day 30: Stack chosen and approved, contracts signed, identity resolution working in development, event taxonomy v1 drafted Day 60: Full event taxonomy live across primary surfaces, first lifecycle sequence in production, baseline dashboard up Day 90: Paywall and entitlement logic in production, attribution closing the loop on at least one paid channel Day 120: Experimentation framework in active use, first growth experiment results read out to leadership   Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. To apply: https://weworkremotely.com/remote-jobs/stability-ai-senior-product-engineer-growth-lifecycle-infrastructure-music-audio

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