Software Engineer - Voice AI (Inference Runtime)

🏢 Summary: Founding Engineer role focused on building and deploying real-time speech-to-text systems for military and emergency units operating in constrained environments. You will work closely with founders to design and implement low-latency Voice AI solutions in Python, owning projects end-to-end in high-stakes, resource-limited conditions. The position offers significant ownership, equity, and the opportunity to deliver production systems used directly in the field. 🗂️ Requirements: Experience implementing Voice AI systems in compute-, connectivity-, or latency-constrained environments, Experience with audio processing and real-time, low-latency systems, Strong Python programming skills, Ability to build and ship production systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, Speech-to-text, Audio, Real-time, Low-latency, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Founding engineer role focused on building and deploying bespoke real-time speech-to-text systems for military and emergency units operating in constrained, high-stakes environments. The position involves evolving the early technical stack and delivering low-latency Voice AI solutions in Python that are used directly in the field. You will own end-to-end development in a fast-moving, early-stage setting with real operational impact. 🗂️ Requirements: Experience implementing Voice AI systems in compute- or latency-constrained environments, Strong experience with real-time audio processing systems, Proficiency in Python for production systems, Experience building low-latency systems, Ability to design and ship systems end-to-end, Ability to work with incomplete requirements and short timelines 📃 Skills: Python, VoiceAI, SpeechToText, AudioProcessing, RealTimeSystems, LowLatency, MachineLearning, SignalProcessing 🏢 Description: ABOUT THE COMPANY We're a European defence software startup operating between Paris and Warsaw. Our mission is to build modern software for hostile environments — our customers are European military and police units, including units across France, Germany, Ukraine, and Poland. We do not work on weapons systems or hardware products. We're currently in stealth but have been recognised as one of France's top 20 seed-stage companies. We're backed by Europe's leading defence VC and strategic partners who include founders of well-known technology companies and defence specialists. Our founding team brings together deep software engineering experience, defence-sector research backgrounds, and operational special forces experience. ABOUT THE ROLE This is a founding-team engineering role. You'll work directly with the founders to evolve our early stack and help service our first customers — military and emergency services units operating in demanding, resource-constrained environments. Your initial focus will be on bespoke real-time speech-to-text systems, primarily in Python. The work is highly applied — you'll be building things that get used in the field quickly, under conditions that don't forgive poor engineering. Expect to move fast, make real decisions, and own what you build end-to-end. WHAT WE LOOK FOR Voice AI in constrained environments Experience implementing Voice AI systems where compute, connectivity, or latency constraints are real operational factors — not just benchmarks. Audio processing and low-latency systems Comfortable working with audio pipelines and real-time systems. You understand the tradeoffs and can navigate them under pressure. Strong execution and product mindset Pragmatic, delivery-focused, and able to build from zero. You don't wait for a perfect spec — you figure it out and ship. High tolerance for ambiguity You thrive when requirements are incomplete and timelines are short. Early-stage environments feel like an opportunity, not a risk. Purpose-driven You want your work to have real-world impact — helping those who operate in high-stakes environments do their jobs more effectively. THE TEAM Small and deliberately assembled. The founding team brings together engineers with deep experience at a leading technology company, a former special forces commander with operational field experience, defence-sector PhDs, and ex-founders. It's a team built for this specific problem — technically rigorous, operationally credible, and moving fast. COMPENSATION & BENEFITS Salary €60,000 – €110,000 depending on experience. Equity Meaningful equity as a founding team member. Relocation Sponsorship available for candidates relocating.

🏢 Summary: Senior DevOps / Platform Engineer role focused on owning deployment, reliability, and operational excellence for a Voice AI product in production. The position emphasizes hands-on infrastructure, CI/CD, observability, and running AI-heavy voice systems at scale. The engineer will independently improve production systems, developer workflows, and operational standards. 🗂️ Requirements: Senior-level experience in DevOps, Platform Engineering, SRE, or Infrastructure Engineering, Strong cloud experience with AWS, Azure, or similar, Hands-on experience with Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Strong knowledge of reliability, observability, and incident response practices, Experience operating production systems, Ability to work across infrastructure and backend layers, Experience using AI tools in daily engineering workflows, On-site work in Warsaw 📃 Skills: AWS, Azure, CI/CD, IaC, SRE, DevOps, STT, TTS, STS, Observability, Infrastructure, Cloud, AI 🏢 Description: About Shelf Shelf builds software that helps enterprises make AI work in the real world. For our Voice AI product, that means reliable runtime systems, strong deployment paths, and production infrastructure that lets engineering teams move fast without creating operational chaos. About the role This role is for a senior DevOps / platform engineer who can independently own how our Voice AI product ships and runs. You will work directly with the team building our Voice AI product rather than as part of a generic centralized Platform function. The job is to make deployment, reliability, observability, and operational quality materially better. That includes infrastructure, CI/CD, environments, incident follow-through, and the practical realities of running AI-heavy systems in production. Real hands-on experience deploying voice-related systems such as STT, TTS, or STS workloads is a strong plus because it is highly relevant to the direction of the work. Location – Warsaw, work from the office What You Will Own Improve how Voice AI services are deployed, run, observed, and supported in production. Build and maintain infrastructure as code, CI/CD flows, environment setup, and paved paths that reduce developer friction. Strengthen observability with better logs, metrics, traces, dashboards, and alerts. Improve reliability through better operational standards, incident handling, post-incident follow-through, and practical SLO thinking. Work across application and infrastructure boundaries when that is what the problem requires. Reduce recurring toil through automation, documentation, and better defaults. Make sound trade-offs around cost, security, performance, and speed. Use AI tools aggressively and well to increase your own leverage and improve engineering workflows. What Strong Performance Looks Like The Voice AI team can ship faster and with fewer avoidable operational issues because of your work. The systems you touch become easier to understand, easier to operate, and easier to trust. You do not need heavy management to create momentum; you find important gaps and close them. You handle real production problems without drama and improve the system after the immediate issue is over. What We Are Looking For Strong senior-level experience in platform engineering, DevOps, SRE, infrastructure engineering, or a similar hands-on role. Strong cloud and infrastructure fundamentals in AWS, Azure, or a comparable environment. Real experience with infrastructure as code and modern delivery pipelines. Strong operational judgment around reliability, observability, incident response, and production systems. Comfort moving across layers: infrastructure, backend services, developer workflows, and operational tooling. Clear communication and strong written habits, especially around runbooks, postmortems, and technical decision making. AI-native working style. You already use AI tools in daily engineering work and think in terms of leverage, automation, and better workflows. Strong Plus Real hands-on experience deploying or operating STT, TTS, STS, or similar voice-model workloads. Experience improving developer experience for product teams, not just operating infrastructure in isolation. Experience with security, access control, compliance-minded infrastructure, and pragmatic operational guardrails. Ability to debug problems that cut across application code, infrastructure, and third-party systems. How We Evaluate Fit We care more about independent ownership, systems judgment, and practical operating ability than about a perfect keyword match to every tool we use. If you are the kind of engineer who can step into a messy production environment and make it calmer, faster, and more reliable, we want to talk. What Shelf Offers B2B contract Company Stock Options Hardware: MacBook Pro Modern technical stack . Develop open-source software Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools Why Shelf: GenAI will be at least a $4 Trillion market by 2032 and Shelf is a core infrastructure that enables GenAI to be deployed at scale Our Leadership Team has deep knowledge management and AI domain expertise and enterprise SaaS background to execute this plan We've been helping our customers prevent knowledge mismanagement since our founding in 2017 We have raised over $60 million in funding and our investors include Tiger Global, Insight Partners, Connecticut Innovations, and others We have high velocity growth powered by the most innovative product in our category, 3X growth for 3 years in a row We now have over 100 employees in multiple U.S. states and European countries, and we have ambitious hiring goals over the next few months

🏢 Summary: Contract B2B role for a senior engineer to rebuild a 401(k) retirement plan administration platform from scratch with an AI-native foundation, owning end-to-end delivery across AWS infrastructure, JVM backend, and TypeScript frontend. The position involves architectural decision-making, close collaboration with US-based stakeholders, and translating complex financial domain rules into scalable software. Strong emphasis on AI-assisted engineering practices and greenfield system design in a regulated, transactional environment. 🗂️ Requirements: 7+ years professional software engineering experience, Senior or staff-level system design experience, Strong JVM backend experience (Kotlin, Java, or Scala), Solid TypeScript frontend experience (React, Angular, or similar), Production experience with AWS, Deep understanding of VPCs, IAM, RDS, Lambda or ECS, Experience with Infrastructure as Code (Pulumi, Terraform, or CDK), Experience designing non-trivial distributed systems, Fluent English, Experience in regulated or transactional domains, Ability to work with US East Coast time overlap 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Financial Platform Rebuild You’d be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You’ll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you’d be doing - Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and supporting services. - Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. - Acting as a thought partner on architecture decisions (IaC choice, service boundaries, data model). - Interviewing internal subject-matter experts to translate domain knowledge into working software. - Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and defining best practices. Logistics - Engagement model: Contract (B2B), initial 3–6 month commitment with strong likelihood of extension. - Hardware: Managed, secured environment provided. - Interview process: Internal screen → tech screen with client tech lead → live coding session (AI-assisted format) → culture call. - Start: Ideally within 2–4 weeks. Must-have - 7+ years of professional software engineering experience with senior or staff-level track record. - Strong backend engineering on the JVM – Kotlin preferred; strong Java or Scala with Kotlin exposure acceptable. - Solid TypeScript frontend experience – React, Angular, or similar. - Solid cloud infrastructure fundamentals including networking, IAM, compute, and managed services. - Strong system design and architectural decision-making skills. - English fluency. - AI-native fluency – active use of Claude Code, Cursor, or similar agents. - Production AWS experience with deep familiarity in VPCs, IAM, RDS, Lambda/ECS trade-offs. - Infrastructure as Code experience – Pulumi, Terraform, or CDK. - Experience in regulated or transactional domains (fintech, payments, healthcare, insurance, ERP, billing systems). - Comfort working in greenfield, ambiguous environments. Nice to have - Direct retirement / pensions / 401(k) experience. - DevOps ownership experience (CI/CD, observability, on-call). - Python data-stack background. Benefits - Fully paid licenses for AI tools (Cursor, Claude Pro, etc.). - Flexible working hours and remote work options. - Comfortable office in central Warsaw with essential tools. - Multisport card and private medical care. - Culture of feedback, mentoring, and career growth opportunities. - Opportunity to build systems that drive real investment decisions in a high-performing engineering culture.

🏢 Summary: Contract role for a senior engineer to rebuild a 401(k) plan administration platform from scratch with an AI-native foundation. The position involves end-to-end ownership of architecture and delivery across AWS infrastructure, Kotlin backend, and TypeScript frontend in close collaboration with US-based stakeholders. You will shape system design decisions and implement core financial domain logic in a greenfield environment. 🗂️ Requirements: 7+ years professional software engineering experience, Strong JVM backend experience (Kotlin, Java, or Scala) in production, Hands-on TypeScript frontend experience (React, Angular, or similar), Production experience with AWS and cloud infrastructure design, Experience designing non-trivial system architectures, IaC experience (Pulumi, Terraform, or CDK), Experience in regulated or transactional domains (fintech, payments, healthcare, insurance, ERP, billing), Ability to work with US East Coast time overlap, Fluent English, Experience using AI coding tools in daily workflow 📃 Skills: Kotlin, Java, Scala, TypeScript, React, Angular, AWS, VPC, IAM, RDS, Lambda, ECS, Pulumi, Terraform, CDK, Claude, Cursor, CI/CD, Python 🏢 Description: Vecten | Client: US-based, retirement plan administration | Remote (Poland-based) | Contract / B2B We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. - Financial Platform Rebuild - You'd be joining a small, senior team rebuilding a 401(k) plan administration platform from the ground up. The existing system was built and operated by a third party; the client is taking ownership and rebuilding it greenfield with a strong AI-native foundation. This is not a ticket-taking role. You'll sit in product conversations with business users, push back on requirements, propose architectural directions, and own end-to-end delivery from infrastructure to UI. The client is US-based with engineers on both coasts. Working hours need meaningful overlap with US East Coast (afternoon CET works well). What you'd be doing Designing and building the core platform: event processing for money math, plan configuration, eligibility rules, and the supporting services around them. Owning vertical slices end-to-end – AWS infrastructure, Kotlin backend, TypeScript frontend. Acting as a thought partner on architecture decisions still being made (IaC choice, service boundaries, data model). Interviewing internal subject-matter experts to translate domain knowledge into working software. Setting the bar for AI-native engineering practices – how the team uses Claude Code, Cursor, agents, and what good looks like. Logistics Engagement model: Contract via Vecten (B2B), initial 3–6 month commitment with strong likelihood of extension. Hardware: Vecten provides a managed, secured environment. Interview process: Vecten internal screen → tech screen with the client's tech lead → live coding session (likely screen-share, AI-assisted format) → culture call. Start: Ideally within 2–4 weeks. Must-have 7+ years of professional software engineering experience , with a meaningful track record of senior or staff-level work. Strong backend engineering on the JVM – Kotlin, Java, or Scala in production. Kotlin experience preferred; if you have strong Java/Scala and have shipped Kotlin on a side project, that works. Solid TypeScript on the frontend – React, Angular, or similar, enough to own UI slices without needing a dedicated frontend pair. Solid cloud infrastructure fundamentals – you've reasoned about networking, IAM, compute, and managed services for real systems and can defend the trade-offs. Architecture chops – you've designed non-trivial systems, can defend trade-offs, and are comfortable disagreeing when you think someone's wrong. English fluency – you'll be talking to business users and engineers daily. Strongly preferred AI-native fluency – you actively use Claude Code, Cursor, or equivalent agents in your daily workflow. You can talk specifically about what you delegate, what you don't, and why. AWS in production – not just "deployed something once". Deep familiarity with VPCs, IAM, RDS, Lambda/ECS trade-offs on real workloads. IaC experience – Pulumi, Terraform, or CDK. Background in regulated or transactional domains – fintech, payments, healthcare, insurance, ERP, billing systems. Anything where audit trails, eligibility rules, and money math matter. Comfort working in greenfield ambiguity – you've been the second or third engineer on a platform before and know how to make progress when half the decisions aren't made yet. Nice to have Direct retirement / pensions / 401(k) experience – the unicorn profile. If you have it, lead with it. DevOps depth – you've owned CI/CD pipelines, observability stacks, and on-call rotations. Python data-stack background – likely to become relevant as analytics and reporting work comes online. What we're not asking for A specific number of years on Kotlin, AWS, or any one tool. We care about depth of judgment, not box-ticking. Front-end specialisation. You don't need to debate React Server Components – you need to ship working UI. Big-bank or HFT pedigree. This is retirement plan administration, not trading. Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: Senior Product Manager role owning a multi-product AI banking suite (chat, voice, and digital) used by financial institutions, driving product direction, optimization, and growth across a shared AI platform. Responsible for scaling AI-powered member experiences, improving automation quality, and aligning multi-channel products into a seamless system. Acts as senior individual contributor leading portfolio strategy and leveraging AI-native workflows to manage and enhance product performance. 🗂️ Requirements: 8+ years product management experience, 3+ years managing multiple products simultaneously, Experience shipping AI-powered products where AI is core, Experience optimizing and growing B2B SaaS products, Strong UX expertise for member-facing products, Experience presenting to US financial institution executives, Experience leading product direction as senior IC, Hands-on use of AI tools for analytics, automation, and workflows, Experience with multi-channel products (chat, voice, digital), Experience building or working with custom AI agents or AI workflows 📃 Skills: AI, SaaS, UX, VoiceAI, ConversationalAI, Automation, Analytics, Dashboards, Agents, MCP, Cursor, Copilot, Claude, Replit, Scripts, APIs 🏢 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.About the Role: You're taking ownership of the product portfolio that drives the majority of interface.ai's current revenue: a multi-product AI suite spanning chat, voice, and digital channels, deployed across a large and growing base of financial institutions. This is an operator's challenge at a critical growth moment. Assess health across products, prioritize ruthlessly, and drive improvements that compound across the entire suite. The products share a common AI platform, and your job is to make them work together seamlessly while pushing each product's metrics higher. You'll be the senior IC and product anchor for the member-facing product pillar, setting product direction, mentoring peer PMs, breaking ties, and ensuring the existing products continue to deliver while the company invests in the future. Key Responsibilities AI-powered digital banking: The chat-based member experience, covering account management, transactions, service resolution, and more AI-powered voice banking: The same core capabilities delivered through phone-based conversational AI, with a focus on automation quality and member experience AI-powered conversion: End-to-end workflows that guide members through applications and complex financial actions across chat and voice, turning intent into completionProactive intelligence: How the platform surfaces the right information, reminders, insights, and opportunities to members at the right time across all channels Pillar leadership: Set product direction for the member-facing pillar. Mentor PMs, have input on hiring, and raise the quality bar Required Qualifications 8+ years in product management, with 3+ years managing multiple products simultaneously (not sequentially) Experience shipping "AI-powered products with a high quality bar" where AI was core to the experience, not a bolt-on feature Strong UX sensibility member-facing products demand high craft quality Track record optimizing and growing existing B2B SaaS products, not just 0-to-1 building Customer-facing: comfortable presenting to and working with US-based financial institution executives Experience as a senior IC leading a product line setting direction for and mentoring 2-3+ PMs through influence (not people management) AI-native workflow: You build with AI daily — analyzing user data, drafting specs, building dashboards, automating 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. This is how you manage the breadth of a multi-product portfolio without drowning in it. Preferred Skills Voice AI or conversational AI product experience Financial services or financial institution industry knowledge Built AI-powered products at scale (millions of end users) Experience with multi-channel product experiences (voice + chat + digital) Built custom AI agents, MCP integrations, or automated AI workflows for product management tasks Who you are? You're the operator who walks into a multi-product portfolio and within weeks knows exactly which product is healthy, which is underperforming, and which metric to move first. You don't just manage products, you manage a *system* of products that share infrastructure, serve overlapping users, and compound in value when they work together. You've been the person that enterprise customers trust. You can walk into a room of financial institution executives, understand their pain in the first ten minutes, and translate it into a product improvement by the end of the week. You balance customer empathy with business discipline: you won't build something just because a customer asks, but you'll never dismiss a pain point without investigation. You build your own tools and workflows. You use AI to track portfolio health, analyze usage patterns at scale, prototype product improvements, and automate the parts of product management that don't require human judgment — building agents, creating automated workflows, writing scripts, whatever makes the work faster. You manage a multi-product portfolio at a pace that would be impossible without AI, and that's the point. 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. Compensation Base Salary is expected to be between $250,000 - $320,000, plus 10%bonus and stock options. Exact compensation may vary based on skills and location. We're an in-office company in Bay area, driven by a shared commitment to excellence and velocity. This role is based in our Palo Alto office and is expected to work on-site with the team. Benefits 100% paid health, dental & vision care 401(k) match & financial wellness perks Discretionary PTO + paid parental leave Mental health, wellness & family benefits A mission-driven team shaping the future of banking 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 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: Engineering leadership role to build and scale an AI Labs team developing autonomous AI agents for enterprise commerce. Responsible for defining the architecture, shipping production-grade agentic AI systems, and driving AI-assisted development at startup speed within a pre-IPO environment. The role combines hands-on technical direction with ownership of infrastructure, quality, and engineering execution. 🗂️ Requirements: Proven experience building and scaling high-performing engineering teams, Hands-on expertise in software architecture and system design, Experience shipping AI or LLM-based products to production, Deep knowledge of LLM orchestration and agent architectures, Experience with AI-assisted development tools in engineering workflows, Ownership of infrastructure efficiency, reliability, and product quality metrics, Ability to operate at startup pace with rapid release cycles, Onsite presence in Mountain View, CA 📃 Skills: LLMs, GPT-4, Claude, AgenticAI, Architecture, Orchestration, AIDevelopment, Cursor, OpenSource, Infrastructure, DistributedSystems 🏢 Description: CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.The Problem: We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. What You'll Do: Build the Future of Commerce AI Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away. Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this. Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence. Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events. Build the Team Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop. Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company. Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average. Own Engineering Execution Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them. Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter. What You'll Bring: This is not a caretaker role. We need a builder. Here is what matters: You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point. You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not. You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact. You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast. You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal. You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face. Compensation and Benefits: Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience. Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership. Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus. Why Join Now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

🏢 Summary: Remote B2B backend engineering role focused on architecting and owning the core platform for a predictive intelligence system, including authentication, AI orchestration, storage, billing, and observability. The position involves full system ownership and direct influence on technical decisions in a fast-moving environment. The engineer will design scalable, production-grade services integrating LLMs and cloud infrastructure. 🗂️ Requirements: 4+ years backend engineering experience, Proficiency in Python or Node.js, Experience building production RESTful APIs, Hands-on experience with GCP services, Experience integrating and tuning LLM APIs, Experience with Stripe or similar billing systems, Experience owning end-to-end systems, Strong debugging skills, Performance tuning expertise, Reliability engineering fundamentals 📃 Skills: Python, Node.js, REST, GCP, CloudRun, BigQuery, CloudSQL, VertexAI, OpenAI, Anthropic, Stripe, Firebase, Redis, DuckDB, Kafka, PubSub, pgvector, SQL, LLM 🏢 Description: Location: 100% Remote (Poland) Contract: B2B (via Entrada AI Poland) ABOUT ENTRADA AI Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. This is a rare distinction: Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans and Databricks MVPs. We look for engineers who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges for Fortune 500 clients using features often before they are widely available. The Role: You'll be joining the team as a backend engineer responsible for architecting and owning the core platform powering the predictive intelligence system. This includes authentication, metering, AI pipeline orchestration, and billing. You'll work directly with leadership and influence every major technical decision. What You'll Own: - Authentication & Identity: Firebase Auth, SSO foundations, tenant/user modeling, tier-based feature gating - RCA Engine: Vertex AI/Gemini integration, prompt engineering, structured response parsing, high-performance request routing - Storage & Data Layer: Redis for ephemeral RCA storage, DuckDB + Kafka (Pub/Sub on GCP) for persistent data, Cloud SQL + pgvector for embeddings - Quota & Usage Management: Monthly RCA limits, trial tracking, enforcement logic, upgrade triggers - Billing & Subscriptions: Stripe integration, webhooks, lifecycle automation, tier transitions - Observability & Reliability: Logging, metrics, tracing, error tracking, audit logs, health checks You Should Have Required: - 4+ years backend engineering experience (Python or Node.js preferred) - Production RESTful API experience - Hands-on GCP services experience (Cloud Run, BigQuery, Cloud SQL, or equivalents) - LLM API integration and tuning experience (Vertex AI, OpenAI, Anthropic, etc.) - Stripe (or similar) billing/subscription integration experience - End-to-end system ownership in fast-moving teams - Strong debugging, performance tuning, and reliability engineering fundamentals Nice to Have: - Firebase Authentication (or equivalent identity platforms) - Redis for caching or ephemeral data - Apache Iceberg, data lakes, or multi-tier storage design - Freemium/tiered SaaS product experience THE OFFER Competitive Salary: 160-180/h Start: ASAP Stable Employment: Contract signed with our Polish entity (Entrada AI Poland). 100% Remote: Full flexibility to work from anywhere in Poland. Apple Hardware: Macbook Air M4 15" provided. Referral Bonus: Bonus for bringing other top-tier engineers to the team. Professional Growth RECRUITMENT PROCESS Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations. Technical Interview (60 min): Deep dive into your technical skills with our engineering team. Optional Client Interview: Required only in specific cases. Decision & Offer: We aim to close the process efficiently.