🏢 Summary: Technical leadership role focused on designing and delivering end-to-end AI/LLM/GenAI solutions, from discovery to production, for complex client use cases. The position involves building scalable AI-driven applications, leading architecture decisions, and mentoring engineers while integrating AI into full-stack products. The role combines hands-on development, research of state-of-the-art models, and ownership of AI project delivery in cloud environments. 🗂️ Requirements: Proficiency in Python or strong ability to transition to Python, Experience with AI/LLM/GenAI models and practical use cases, Hands-on experience with prompt engineering and API integration, Experience building AI-driven or full-stack applications using TypeScript, Cloud experience, primarily with Azure, Experience leading AI projects end-to-end from discovery to production, Knowledge of Agentive AI and multi-agent architectures, Experience with code quality reviews and TDD or MLOps, Experience working in Agile/Scrum environments 📃 Skills: Python, TypeScript, Azure, GCP, AWS, OpenAI, Anthropic, LangChain, FastAPI, PyTest, Docker, Terraform, TDD, MLOps, ChatGPT, Claude, Cursor 🏢 Description: WHO WE ARE Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland‑based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. For more information about Accenture Technology Poland please visit our website: Poland | Let There Be Change | Accenture. THE WORK Lead technical initiatives in the AI/LLM/GenAI space, owning solution design and delivery for complex use cases. Design and build scalable AI‑driven prototypes and end‑to‑end solutions, from discovery and scoping to deployment and handover. Research and evaluate state‑of‑the‑art AI models, tools, and multi‑agent architectures, constantly seeking innovation and advancement . Translate client and business problems into AI solutions, driving business ownership, strategic planning, and active client interactions. Mentor and support junior engineers on a daily basis, fostering a culture of continuous learning and proactive skill enhancement . Collaborate with cross‑functional teams (development, design, consulting) to integrate AI capabilities into full‑stack applications and products. Support internal knowledge sharing, best practices, and contributions to reusable assets and standards. Work efficiently in a fast‑paced environment, embracing challenges as opportunities and being forward‑thinking and growth‑driven . Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. WHAT’S IN IT FOR YOU? Exposure to high‑impact AI projects for global clients, where you can expand your expertise in modern AI, LLMs, and multi‑agent solutions while working with diverse stakeholders. Real autonomy and influence over both technical architecture and product direction, with opportunities to become a go‑to AI expert and mentor for others. A dynamic environment grounded in a culture of feedback, clear career paths and skills‑based assessments, access to advanced tools, certifications and continuous learning opportunities to support your professional development. Qualifications HERE’S WHAT YOU’LL NEED Proficiency in Python, or strong skills in another language with willingness to transition to Python. Proficiency in using AI tools like ChatGPT, Cursor, Claude (including work with MCPs). Understanding of TypeScript and ability to build full‑stack applications. Cloud proficiency, primarily Azure. Strong knowledge of AI/LLM/GenAI models – their limitations, strengths, and practical use cases. Experience in prompt engineering, API integration, and building AI‑driven applications. Familiarity with Agentive AI concepts and multi‑agent architectures. Proven ability to scope and lead AI projects end‑to‑end (from discovery to production). Ability to communicate complex technical concepts to non‑technical stakeholders. Hands‑on experience in code quality reviews and at least one of the following: TDD, MLOps. Experience working in Agile/Scrum teams and contributing to planning and estimation. Our Tech Stack for this role includes: Languages: Python, TypeScript GenAI Providers: OpenAI, Anthropic, Azure OpenAI Frameworks & Tooling: LangChain, FastAPI, PyTest Cloud: Azure (primary), GCP, AWS DevOps & Infra: Docker, Terraform BONUS POINTS IF YOU HAVE Experience contributing to internal knowledge bases, open‑source projects, or tech communities. Strong understanding of business dynamics and a track record of turning client problems into AI‑driven solutions. Additional skills in DevOps or ML (e.g. model lifecycle, monitoring, experimentation). Experience with extra languages/frameworks such as Java, C#, C++, React, Angular or Flutter. Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. WHAT WE OFFER? A permanent employment contract. Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach. A wide training package (soft, technical, and language training offer, access to e‑learning platforms, Gallup test, GenAI training, possibility of co‑financing courses, and certification). Employee Assistance Program – legal, financial, and psychological consultations. Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares. Paid employee referral program. Private medical care and life insurance. Access to the benefit platform (such as Worksmile/MyBenefit – including the Multisport card and a wide range of products and services). WHAT WE BELIEVE Accenture does not discriminate against employment candidates based on race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger, and more durable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as a partner to many of the world’s leading businesses, organizations, and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, and we embed it into everything we do and for everyone we work with.

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We collaborate, share knowledge, and succeed as one team.

🏢 Summary: Lead research and architecture design for next-generation AI systems, focusing on rack-scale co-design of AI workloads, memory, interconnects, and high-performance RISC-V CPUs. The role drives system-level modeling, simulation, and micro-architecture innovation to eliminate memory and bandwidth bottlenecks in large-scale AI platforms. It combines deep technical leadership with hands-on architecture research and cross-functional collaboration. 🗂️ Requirements: Ph.D. in Computer Science, Electrical Engineering, or related field, 10+ years in system-level architecture research or large-scale computing platform design, Expertise in AI workload-focused system architecture design, Strong experience in performance modeling and event-driven simulation, Deep knowledge of RISC-V, ARM, or x86 CPU architectures, Experience designing out-of-order CPU micro-architectures, Proficiency in transaction-level modeling (TLM), Experience with large-scale design-space exploration and PPA analysis, Hands-on programming experience in Python and C++, Ability to lead technical research teams and define architecture roadmaps 📃 Skills: RISC-V, ARM, x86, TLM, Python, C++, PPA, Simulation, Modeling, Microarchitecture 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.What You'll Do Lead cutting‑edge research on next‑generation AI system architectures. The role is responsible for end‑to‑end co‑design of AI workloads, system‑level modeling, hardware platforms, and high‑performance processors that leverage Samsung's advanced memory technologies to eliminate capacity, bandwidth, and large‑scale communication bottlenecks. Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy AI System Architecture Leadership Define system‑level architectures that solve memory‑capacity, bandwidth, and interconnect challenges for large AI workloads (e.g., large language models, recommendation systems). Build and maintain analytical and event‑driven simulation frameworks for compute‑memory‑network performance at rack scale. Conduct design‑space exploration and quantitative trade‑off studies (performance, power, cost) to guide architecture decisions. Partner with SAIT HQ teams to align modeling insights with real‑world AI system implementations. RISC‑V CPU Architecture Leadership Architect high‑performance, out‑of‑order RISC‑V CPU cores that serve as host processors for AI computing systems. Drive IPC‑focused feature path‑finding; lead micro‑architecture research through performance‑model simulation and workload analysis. Produce detailed micro‑architecture specifications and guide cache/memory hierarchy design for optimal AI workload execution. Research & Innovation Management Lead a multidisciplinary research team, set technical roadmaps, and ensure delivery of high‑impact publications. Present architectural insights and strategic recommendations to senior leadership and external partners. What You Bring Education: Ph.D. in Computer Science, Electrical Engineering, or a related field. Experience: 10+years in system‑level architecture research or large‑scale computing platform design, with a strong focus on AI workloads. Technical Expertise: Performance modeling, event‑driven simulation, and quantitative analysis of compute‑memory‑interconnect systems. Deep knowledge of modern CPU/accelerator architectures (RISC‑V, ARM, x86) and heterogeneous integration. Proven ability to design rack‑scale AI system architectures that address memory, bandwidth, and interconnect constraints. Proficiency with transaction‑level modeling (TLM) and event‑driven simulation for compute‑memory‑network co‑design. Experience in large‑scale design‑space exploration and PPA (performance, power, area/cost) trade‑off analysis. Expertise in architecture and micro‑architecture design of out‑of‑order CPUs. Hands‑on experience with simulation tools and programming languages such as Python and C++. Communication Skills: Excellent written and verbal communication; proven ability to deliver technical presentations to senior stakeholders. Preferred Experience Proven track record of publishing high‑impact research papers. Experience influencing product roadmaps through architectural recommendations. Strong collaborative history with cross‑functional teams (hardware, software, memory technology). You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change #LI-SF1 What We OfferThe pay range below is for all roles at this level across all US locations and functions. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you.Base Pay Range$246,000—$430,000 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policyhttps://semiconductor.samsung.com/about-us/careers/us/privacy/

🏢 Summary: Senior platform product role owning the AI infrastructure powering multi-agent banking assistants across voice and digital channels. Responsible for defining technical direction, model lifecycle, orchestration, performance, safety, and platform contracts to scale to millions of users. Acts as a senior IC setting standards for AI-native, enterprise-grade, multi-tenant systems. 🗂️ Requirements: 8+ years product management experience, 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products, Experience owning multi-component platform used by multiple product teams, Ability to read code, review architecture, and debug production issues, Experience with LLM orchestration, evaluation, and fine-tuning pipelines, Experience defining and governing APIs, versioning, and platform contracts, Experience in enterprise SaaS with multi-tenant and compliance requirements, Knowledge of inference optimization and latency management for real-time systems 📃 Skills: LLM, RAG, RLHF, RLAIF, APIs, ASR, TTS, Python, Quantization, Encryption, SOC2, GDPR, Cursor, Copilot 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.Company: interface.ai Location: Palo Alto, CA (In-Office) Reports to: VP of Product Compensation: $250,000 - $320,000 base salary + bonus + equity (depending on location & experience) About interface.ai Banking hasn't kept up with how people actually live their financial lives. At interface.ai, we're building AI-native products that transform how millions of Americans interact with their financial institutions, making every interaction intelligent, personal, and proactive.Our platform powers AI agents that handle real banking tasks end-to-end: moving money, resolving issues, converting loans, and surfacing financial insights across voice, chat, and digital channels. We're not building another chatbot. We're building the AI infrastructure that will become the primary way people bank, unlocking a massive market opportunity by displacing the legacy systems that financial institutions have been stuck with for decades. With two-thirds of Americans living paycheck to paycheck, only 17% financially literate, and 50% holding less than $500 in savings, the urgency is real. We're putting financial well-being on autopilot. We power AI agents for 100+ financial institutions, serving millions of banking members across the U.S., and are backed by leading investors including Avataar Venture Partners and Blume Ventures. Our platform enables banks and credit unions to automate high-volume customer interactions across voice and digital channels while improving resolution rates, reducing operational costs, and increasing customer engagement. Key credibility anchors: Series B AI company building agentic AI infrastructure for financial institutions Trusted by 100+ banks and credit unions across North America Serving millions of end users through conversational AI across voice, chat, and mobile channels The Opportunity You will own the AI platform that every product at the company depends on. This is not a support function: the platform is the competitive moat. Your decisions directly determine the ceiling of what every other product team can build. You'll inherit a multi component platform, assess what exists, and define what comes next: what to consolidate, what to invest in, what to sunset. As the senior IC in a pillar of 3-4PMs, you'll set technical direction, mentor, and raise the quality bar, while partnering with engineering leadership to scale the system to millions of end users at startup speed. What You'll Own Agent runtime & orchestration: multi-agent orchestration, memory/context management, tool routing, goal planning, and policy-aligned behavior Platform contracts: APIs, versioning, deprecation, and migration strategy: you define the boundaries and the lifecycle for all consuming teams Model lifecycle: selection, evaluation, benchmarking, fine-tuning enablement, and prompt optimization. You define when to prompt-tune vs fine-tune vs switch models. Inference performance & reliability: latency budgets, caching, batching, quantization, multi-region deployments, fallbacks, and safe rollout patterns (canaries, feature flags, rollback) Safety & compliance: PII detection/masking, prompt/response safety policies, tenant isolation, SOC2/GDPR readiness, audit logs, and encryption: compliance is a product requirement, not an afterthought Evaluation & quality: offline golden sets, regression testing, hallucination measurement, task success metrics, and production-to-improvement feedback loops Voice & multimodal: ASR/TTS integration patterns, WER, interruption handling, turn-taking, and latency budgets for real-time conversational intelligence Pillar leadership: You set technical direction, mentor, raise the bar, and have input on hiring. You prioritize competing demands from multiple product pillars, define the platform investment thesis, and protect the platform from becoming a feature factory. Who You Are You think in systems, not features. You read a platform outage postmortem and immediately see the product decision that caused it. You've built API contracts that entire product orgs depend on, and you've made the hard call to break one when the platform needed to evolve. You understand the full AI stack: from model training through inference optimization to production monitoring. You can spec a fine-tuning pipeline, set latency budgets for real-time voice, and debate quantization trade-offs with a staff engineer, all in the same week. You build your own tools. You use AI to prototype, analyze, and accelerate your work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. Not because someone told you to, but because you can't imagine working any other way. What You Bring 8+ years in product management, with 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products Owned a multi-component platform serving multiple product teams, not just a single product Deep technical fluency: can read code, review architecture, and debug production issues alongside engineers Experience with AI/ML platforms: LLM orchestration, model evaluation, fine-tuning, RAG, agentic frameworks, or similar Experience governing platform contracts and managing how internal teams consume capabilities Built in enterprise SaaS environments with multi-tenant, compliance, and governance requirements AI-native workflow: You build with AI daily — creating agents, automating analyses, prototyping with code, building custom workflows. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building. Bonus Points Financial services or regulated industry experience Voice/ASR/TTS systems and real-time latency-sensitive products LLM evaluation frameworks, multi-agent orchestration, or RLHF/RLAIF Knowledge graph or RAG-based retrieval systems Built a platform team from scratch Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. What We Offer 100% company-paid medical, dental, and vision coverage 401(k) with company match and financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness, and family benefits Competitive equity with meaningful upside At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Senior platform product leader role owning the AI infrastructure powering a universal banking assistant used by millions. Responsible for defining and scaling multi-agent orchestration, model lifecycle, platform APIs, inference performance, and compliance across voice and digital channels. Sets technical direction for the AI platform, enabling product teams to build on a secure, reliable, and high-performance foundation. 🗂️ Requirements: 8+ years product management experience, 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products, Experience owning multi-component platform serving multiple teams, Ability to read code and review system architecture, Experience with LLM orchestration and model evaluation, Experience defining and governing platform APIs and contracts, Experience in enterprise SaaS with multi-tenant architecture, Knowledge of inference optimization and latency management, Experience with compliance and security in regulated environments 📃 Skills: LLM, RAG, RLHF, APIs, Microservices, Python, ASR, TTS, Quantization, Fine-tuning, Orchestration, Multi-agent, Benchmarking, Encryption, SOC2, GDPR, Cursor, Copilot 🏢 Description: Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.Company: interface.ai Location: Palo Alto, CA (In-Office) Reports to: VP of Product Compensation: $250,000 - $320,000 base salary + bonus + equity (depending on location & experience) About interface.ai Banking hasn't kept up with how people actually live their financial lives. At interface.ai, we're building AI-native products that transform how millions of Americans interact with their financial institutions, making every interaction intelligent, personal, and proactive.Our platform powers AI agents that handle real banking tasks end-to-end: moving money, resolving issues, converting loans, and surfacing financial insights across voice, chat, and digital channels. We're not building another chatbot. We're building the AI infrastructure that will become the primary way people bank, unlocking a massive market opportunity by displacing the legacy systems that financial institutions have been stuck with for decades. With two-thirds of Americans living paycheck to paycheck, only 17% financially literate, and 50% holding less than $500 in savings, the urgency is real. We're putting financial well-being on autopilot. We power AI agents for 100+ financial institutions, serving millions of banking members across the U.S., and are backed by leading investors including Avataar Venture Partners and Blume Ventures. Our platform enables banks and credit unions to automate high-volume customer interactions across voice and digital channels while improving resolution rates, reducing operational costs, and increasing customer engagement. Key credibility anchors: Series B AI company building agentic AI infrastructure for financial institutions Trusted by 100+ banks and credit unions across North America Serving millions of end users through conversational AI across voice, chat, and mobile channels The Opportunity You will own the AI platform that every product at the company depends on. This is not a support function: the platform is the competitive moat. Your decisions directly determine the ceiling of what every other product team can build. You'll inherit a multi component platform, assess what exists, and define what comes next: what to consolidate, what to invest in, what to sunset. As the senior IC in a pillar of 3-4PMs, you'll set technical direction, mentor, and raise the quality bar, while partnering with engineering leadership to scale the system to millions of end users at startup speed. What You'll Own Agent runtime & orchestration: multi-agent orchestration, memory/context management, tool routing, goal planning, and policy-aligned behavior Platform contracts: APIs, versioning, deprecation, and migration strategy: you define the boundaries and the lifecycle for all consuming teams Model lifecycle: selection, evaluation, benchmarking, fine-tuning enablement, and prompt optimization. You define when to prompt-tune vs fine-tune vs switch models. Inference performance & reliability: latency budgets, caching, batching, quantization, multi-region deployments, fallbacks, and safe rollout patterns (canaries, feature flags, rollback) Safety & compliance: PII detection/masking, prompt/response safety policies, tenant isolation, SOC2/GDPR readiness, audit logs, and encryption: compliance is a product requirement, not an afterthought Evaluation & quality: offline golden sets, regression testing, hallucination measurement, task success metrics, and production-to-improvement feedback loops Voice & multimodal: ASR/TTS integration patterns, WER, interruption handling, turn-taking, and latency budgets for real-time conversational intelligence Pillar leadership: You set technical direction, mentor, raise the bar, and have input on hiring. You prioritize competing demands from multiple product pillars, define the platform investment thesis, and protect the platform from becoming a feature factory. Who You Are You think in systems, not features. You read a platform outage postmortem and immediately see the product decision that caused it. You've built API contracts that entire product orgs depend on, and you've made the hard call to break one when the platform needed to evolve. You understand the full AI stack: from model training through inference optimization to production monitoring. You can spec a fine-tuning pipeline, set latency budgets for real-time voice, and debate quantization trade-offs with a staff engineer, all in the same week. You build your own tools. You use AI to prototype, analyze, and accelerate your work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. Not because someone told you to, but because you can't imagine working any other way. What You Bring 8+ years in product management, with 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products Owned a multi-component platform serving multiple product teams, not just a single product Deep technical fluency: can read code, review architecture, and debug production issues alongside engineers Experience with AI/ML platforms: LLM orchestration, model evaluation, fine-tuning, RAG, agentic frameworks, or similar Experience governing platform contracts and managing how internal teams consume capabilities Built in enterprise SaaS environments with multi-tenant, compliance, and governance requirements AI-native workflow: You build with AI daily — creating agents, automating analyses, prototyping with code, building custom workflows. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building. Bonus Points Financial services or regulated industry experience Voice/ASR/TTS systems and real-time latency-sensitive products LLM evaluation frameworks, multi-agent orchestration, or RLHF/RLAIF Knowledge graph or RAG-based retrieval systems Built a platform team from scratch Our Values Act Like You're the Founder: Own the outcome from start to finish No Fear. Speak Your Mind: Candor moves us forward Pursuit of Excellence: Raise the bar, every time AI-First Mindset: Think automation, intelligence, and scale-first in every solution Don't Assume. Seek to Understand: Start with questions, not conclusions How We Work Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building. What We Offer 100% company-paid medical, dental, and vision coverage 401(k) with company match and financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness, and family benefits Competitive equity with meaningful upside At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

🏢 Summary: Leadership role for managing and scaling an AI & Data practice focused on generative AI, machine learning, data engineering, and cloud AI solutions. The position combines technical leadership, client engagement, pre-sales support, and team development across advanced AI and data initiatives. Includes responsibility for driving AI innovation, mentoring teams, and delivering scalable enterprise AI architectures. 🗂️ Requirements: 12-15 years in consulting, engineering services, or technology-driven organizations, 5+ years in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Experience with Generative AI technologies and LLM ecosystems, Experience with AI/ML frameworks, Experience with Data Engineering tools and distributed systems, Experience with cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations, Bachelor’s degree in Computer Science, Data Science, AI, or related field 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning, DataEngineering, Containerization, Orchestration 🏢 Description: We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Responsibilities Practice Leadership & Management - Lead and manage the AI & Data practice - Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development - Provide line management and leadership to members of the practice including technical leadership across AI and Data - Define skills development objectives for practice members and evaluate progress and effectiveness - Develop, improve, and standardize processes, methodologies, and tools - Foster a culture of collaboration, innovation, and knowledge sharing across the practice Client Engagement & Pre-Sales - Partner with Sales and Account teams to identify and shape AI & Data opportunities - Lead or contribute to solutioning, proposals, and RFP responses - Act as a trusted advisor in client discussions and executive forums - Align AI & Data solutions with business value and client outcomes Technical Leadership & Innovation - Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) - Support delivery teams with hands-on guidance and expert oversight - Drive development of AI & Data offerings, accelerators, and reusable assets - Identify opportunities for AI-driven productivity gains and automation - Ensure adoption of industry best practices and scalable architectures Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in: - Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Skills & Competency Management - Create, maintain, and manage the practice skill matrix - Identify competency gaps and develop capability-building plans - Develop and coordinate technical training programs and certification initiatives - Build and strengthen a team of experts through: - Recruitment - Coaching and mentoring - Internal talent development and training - Support career development planning and succession management within the practice - Promote technical communities, best practices, and continuous learning initiatives Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range: $160,000-$190,000 + Annual Performance Bonus The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Note: this position is on-site, but can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Lead enterprise and commercial healthcare technology implementations, managing a team responsible for successful deployments, pilot conversions, and customer outcomes. The role focuses on implementation strategy, stakeholder collaboration, technical integrations, and scalable execution within a fast-growing AI healthcare environment. 🗂️ Requirements: 7+ years of project execution or software implementation experience, 2+ years of people management and team leadership experience, Experience leading healthcare technology implementation projects, Ability to deploy scalable implementation strategies and systems, Strong technical aptitude for integrations and technical implementations, Excellent communication and stakeholder management skills, Ability to manage multiple priorities with strong organizational skills, Experience analyzing pilot performance and operational data 📃 Skills: AI, EMR, Epic, CRM, EHR, SaaS 🏢 Description: About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. The Role As a Director of Implementation, Enterprise and Commercial at Abridge, you will play a vital role in leading a team of implementers to ensure the satisfaction, implementation quality, and conversion of pilots within our customers in your team’s segment(s). You will be a core member of the commercial team and work closely with cross functional teams to enable your team to effectively serve our enterprise partners and drive product implementations and impactful outcomes. What You'll Do - Drive strong team performance against core KPIs including Implementation NPS, successful pilot conversions, and user activation to contribute to organization engagement goals. - Own high-impact or strategic implementations within your segment, modeling best-in-class execution practices and setting the standard for the team. - Proactively identify and manage risks across your team’s implementation portfolio through coaching or direct intervention to drive resolution. - Own hiring, onboarding, performance management, and ongoing development for implementers within your team. - Collaborate closely with the Area Director, Implementation to translate the Implementation strategy and priorities into a segment specific execution model that caters to your partner segment. - Serve as a culture leader for your team, ensuring every team member feels a sense of community, is set up to succeed, and reflects the values and standards that define how we work at Abridge. - Build strong relationships and work collaboratively with Commercial organization segment leaders across Sales, Partner Success, and Clinical Success to drive alignment on goals, execution, and operations. What You'll Bring - Track record of driving successful healthcare technology implementation projects from initiation to completion. - 7+ years of work in driving project execution or software implementations. - 2+ years of experience in people management and team leadership. - Experience deploying scalable implementation strategies and systems tailored to commercial segments. - Excellent communication and interpersonal skills. - Strong technical aptitude with the ability to dive deep into integrations and technical implementations. - Strong organizational and prioritization skills. - Data-driven mindset with the ability to analyze pilot performance and partner outcomes. - Ability to identify and escalate risks with proposed solutions. Bonus Points If - Experience with pilot conversion motions for long-term customer partnerships. - Experience implementing electronic health records. - Familiarity with Epic. - Familiarity with systems requiring strict privacy and security protocols. - Familiarity with CRM, customer success, and project management software. Benefits - 14 paid holidays and flexible PTO. - Medical, Dental, and Vision coverage. - HSA contributions. - Paid parental leave. - Family forming benefits. - 401(k) matching. - Personal device allowance. - Flexible Spending Accounts and commuter benefits. - Lifestyle wallet for fitness and professional development. - Mental health support. - Paid sabbatical leave after 5 years. - Competitive compensation and equity grants. Compensation Tier 1 Salary: $169,000 – $194,040 Tier 2 Salary: $152,100 – $174,636 Offers equity.

🏢 Summary: Frontend Engineer role focused on building AI-powered web applications and GenAI interfaces using React and TypeScript for enterprise clients. The position involves designing responsive conversational UIs, integrating with APIs and LLM services, and solving modern AI interaction and UX challenges. The role offers flexible work arrangements, professional development, and exposure to cutting-edge AI product engineering. 🗂️ Requirements: 3+ years commercial frontend development experience, React, TypeScript, Modern frontend architecture, State management, Component design, Performance optimization, Responsive design, REST APIs, WebSockets, Streaming endpoints, UX design understanding, AI-powered interfaces familiarity or interest, AI-assisted development tools, English B2+ 📃 Skills: React, TypeScript, REST, WebSockets, Cursor, Copilot, Next.js, D3.js, Recharts, Visx, WCAG, Playwright, Cypress, Node.js, Python, FastAPI 🏢 Description: WHO WE ARE Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. THE WORK As a Frontend Engineer – AI Solutions, you will design and build the user-facing layer of GenAI and agentic AI solutions for leading global enterprises. You’re the person who makes powerful AI systems usable – turning complex agent interactions, streaming LLM outputs, and enterprise data into intuitive, polished product experiences. We’re looking for someone who is React-strong, thinks in terms of user experience, and is excited about solving the unique UI/UX challenges that come with building AI-powered products. Understanding of frontend security best practices – including authentication and authorization flows, secure API integrations, and protection against common web vulnerabilities , is crucial on this position. You will: Build modern, responsive frontends for GenAI products using React and TypeScript – conversational interfaces, agent dashboards, data exploration tools, and interactive analytics views Design and implement AI-specific interaction patterns: streaming chat, real-time agent status, citation rendering, confidence indicators, and graceful handling of AI uncertainty Own the UX quality of AI products – making deliberate decisions about information architecture, component design, accessibility, and how users interact with AI outputs Integrate frontends with backend APIs, LLM services, and streaming endpoints – working closely with GenAI engineers to deliver seamless end-to-end experiences Collaborate with engineers, designers, and consultants on cross-functional teams, shaping how enterprise users experience AI Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. WHAT’S IN IT FOR YOU? Build the interface layer of cutting-edge AI: you’ll shape how users actually experience GenAI – the part that makes the difference between a demo and a product. Solve UI/UX problems that barely exist yet: streaming agent interactions, multi-agent status views, conversational analytics – these design patterns are being invented right now, and you’ll be the one inventing them. Grow at the intersection of frontend engineering and AI: work alongside experienced AI & Data practitioners, gaining unique product engineering expertise that very few frontend developers have today. Qualification HERE’S WHAT YOU’LL NEED Min. 3 years of commercial experience in frontend development Strong proficiency in React and TypeScript Solid understanding of modern frontend architecture – state management, component design, performance optimization, and responsive design Experience integrating frontends with REST APIs, WebSockets, or streaming endpoints Strong UX sensibility – ability to make deliberate design and interaction decisions, not just implement mockups Familiarity with AI-powered product interfaces (chatbots, conversational UIs, dashboards with AI-generated content) or a strong interest in this space Proficiency with AI-assisted development tools (e.g., Cursor, Copilot, or similar) – we expect these to be a core part of your daily workflow, not an occasional add-on Good command of English (min. B2+) BONUS POINTS IF YOU HAVE Experience building real-time or streaming UIs (e.g., Server-Sent Events, WebSocket-based interfaces) Hands-on experience with UI component libraries and design systems (e.g., Shadcn, Radix, Material UI) Familiarity with Next.js or similar full-stack React frameworks Basic understanding of LLMs, prompt engineering, or how GenAI APIs work Experience with data visualization libraries (e.g., D3.js, Recharts, Visx) Knowledge of accessibility standards (WCAG) and inclusive design practices Experience with frontend testing (e.g., Playwright, Cypress, React Testing Library) Basic backend or API development experience (Node.js, Python, FastAPI) Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don’t meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. WHAT WE OFFER? A permanent employment contract Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses and certifications Employee Assistance Program offering legal, financial and psychological consultations Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends Paid employee referral program Private medical care and life insurance Access to the Worksmile benefits platform (including the Multisport card) Interview Note: We value practical skills. During the technical interview, we’ll give you a real problem to solve and debug together – using your preferred development setup, including any AI-assisted tools you work with day to day. WHAT WE BELIEVE: Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with. Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy #LI-EU

🏢 Summary: Newly created US-focused Talent Partner role responsible for driving critical cross-functional hires and embedding AI-enabled recruiting processes to support rapid growth. The position partners closely with senior leadership, especially in New York and Washington, to shape hiring strategy, deliver key talent, and use data and market intelligence to inform decisions. Success is defined by the ability to operate at C-suite level, leverage AI tools, and build scalable, high-quality recruitment practices in fintech or Web3 environments. 🗂️ Requirements: Proven experience delivering critical US hires in fintech, Web3, SaaS, or digital assets, Experience partnering with C-suite or VP-level stakeholders, Hands-on experience using AI tools to improve recruiting workflows, Proficiency in Ashby and LinkedIn Recruiter, Experience with talent intelligence tools, Strong data literacy and ability to use recruiting metrics, Experience in cross-functional US hiring, Ability to manage complex stakeholder environments and senior engagement 📃 Skills: AI, Claude, Ashby, LinkedIn, SaaS, Web3, Fintech, Data, Automation, Workflows 🏢 Description: Do you want to be part of the future of value transfer? Are you excited about solving problems that have never been solved before? In this newly created role, you’ll be pivotal to shaping growth in The Americas by building world-class sales and marketing teams. The impact you will have: In this role you’ll be an outstanding cross-functional talent partner helping to build in the US. You’ll combine market knowledge and AI fluency to embed and run seamless processes at scale while creating compelling candidate experiences. Your success will be defined by your ability to manage a complex workload across diverse stakeholder groups while maintaining consistently high quality. What you will do: - Be a key business partner to global leaders, particularly supporting New York and Washington-based leadership across functions - Shape leadership experience, manage expectations, and own talent partnerships - Deliver key hires across New York, Washington, and other target hubs - Drive senior stakeholder engagement to ensure alignment and outcomes - Improve capability and assessment using tooling and technology as enablers - Use AI tools such as Claude to shape ways of working - Use data, pipeline metrics, and market intelligence to drive data-driven decisions What you will achieve in the first 6 months: - Establish yourself as a key talent business partner - Develop a clear view of the US talent landscape and advise stakeholders on hiring strategy - Embed AI in processes and systems to deliver efficiencies - Support the VP of Talent in key projects and planning - Deliver critical hires aligned to company goals - Identify tooling and sourcing methods to engage high-quality sales and marketing talent at scale You will be a great fit if you: - Have a strong track record of delivering critical US hires in fast-paced fintech, Web3, or SaaS organizations - Are genuinely curious about AI and how it can transform recruiting - Are comfortable advising C-suite stakeholders and representing Talent in leadership forums - Have experience delivering key talent projects and headcount planning - Thrive in ambiguous environments and act as a self-starter Our ideal candidate has: - Demonstrable expertise in cross-functional US hiring, ideally in digital assets, fintech, or crypto/Web3 - Experience partnering with C-suite or VP-level revenue leaders as a strategic talent advisor - Experience building workflows using AI tools such as Claude and experimenting with agentic tools - Deep proficiency in Ashby, LinkedIn Recruiter, and talent intelligence tools - Strong data literacy and ability to use metrics to drive decisions Bonus points for: - Experience as a people manager who chose to return to an individual contributor role - Experience hiring globally for hybrid roles in competitive markets - Experience running and presenting talent intelligence campaigns supporting footprint planning Benefits: How we work: - Hybrid working and the option to work from almost anywhere for up to 90 days per year - £500 remote working budget to set up your home office Learning & Development: - $1,000 learning and development budget Vacation / Leave: - 25 days of annual leave + 8 US public holidays - An extra day for your birthday - 16 weeks fully paid parental leave for eligible employees Benefits: - Comprehensive medical, dental, and vision coverage - 401k with company match - Full access to mental health support Compensation Range: $125K - $230K

🏢 Summary: Mid Full Stack Engineer role focused on building and improving AI-powered enterprise products across frontend and backend systems. The position involves developing web applications, APIs, and production features using modern technologies while collaborating closely with cross-functional teams. Candidates will work with AI development tools and contribute to scalable, high-quality software in a fast-growing environment. 🗂️ Requirements: 2–5 years of experience building production web applications, Knowledge of React, Knowledge of TypeScript or another modern frontend framework, Experience building backend services, Experience building REST APIs, Familiarity with testing and version control, Understanding of web application architecture, Understanding of client-server communication, Problem-solving skills, Attention to code quality, Strong communication skills, Experience using AI development tools, Willingness to collaborate across engineering, product, and design teams 📃 Skills: React, TypeScript, REST, Git, GitHub, Copilot, Claude, ChatGPT, Python, Node.js, AWS, GCP, Azure, Docker, CI/CD 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with complex business tasks. We solve this problem by building a platform that understands company knowledge, policies, processes, and workflows, enabling AI to make reliable decisions instead of simply generating answers. Our technology helps businesses automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just a few seconds. Our mission is simple: to give people better answers everywhere. About the Role We are looking for a Mid Full Stack Engineer who enjoys building products and solving real user problems. In this role, you'll work across both the frontend and backend, collaborating closely with engineers, product managers, and designers to deliver new features and improve existing ones. You'll have the opportunity to work with modern AI technologies, contribute to production systems, and grow your technical skills in a fast-moving environment. If you enjoy learning, shipping high-quality software, and working on products used by enterprise customers, we'd love to hear from you. Responsibilities - Build and maintain product features across both frontend and backend. - Develop user interfaces using modern frontend technologies. - Build and extend backend APIs and business logic. - Collaborate with engineers, product managers, and designers to implement new functionality. - Improve application performance, reliability, and usability. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Help monitor production systems and improve features based on user feedback and product data. - Use AI development tools to improve productivity and software development workflows. Requirements - 2–5 years of experience building production web applications. - Good knowledge of React, TypeScript, or another modern frontend framework. - Experience building backend services and REST APIs. - Familiarity with modern software engineering practices, testing, and version control. - Understanding of web application architecture and client-server communication. - Good problem-solving skills and attention to code quality. - Strong communication skills and willingness to collaborate across engineering, product, and design teams. - Experience using AI tools such as GitHub Copilot, Claude Code, ChatGPT, or similar in day-to-day development. - Curiosity, ownership of your work, and a desire to continuously learn. Nice to Have - Experience with Python, Node.js, or both. - Experience working on AI-powered products or LLM integrations. - Familiarity with cloud platforms (AWS, GCP, or Azure). - Knowledge of Docker, CI/CD, or modern deployment workflows. - Understanding of performance optimization and accessibility best practices. What We Offer - B2B contract. - Company stock options. - MacBook Pro for work. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on real AI products used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - The chance to grow your career alongside experienced engineers in a fast-growing AI company. Why Join Us Our leadership team brings deep experience in AI and knowledge management. We've raised over $60 million in funding and achieved three consecutive years of 3× growth. We believe great products are built by great teams, and our culture is shaped by these values: - Quality - We care about craftsmanship and building software that lasts. - Momentum - We move quickly, iterate often, and continuously improve. - Accountability - We take responsibility for our work, communicate openly, and support one another. - Hard Work - We believe ambitious goals require dedication and teamwork. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We succeed by collaborating, sharing knowledge, and helping each other grow.