Business Operations Associate (95009)

🏢 Summary: Strategic Finance Business Partner role supporting Sales & Marketing as the commercial finance lead for a SaaS energy intelligence platform. The position owns revenue forecasting, quota-setting, commercial metrics, and GTM financial modeling while partnering with executive leadership to drive growth strategy and performance insights. This is a high-impact, remote-first role focused on SaaS revenue analytics, financial modeling, and cross-functional commercial integration. 🗂️ Requirements: 5+ years in FP&A, strategic finance, investment banking, or management consulting, At least 2 years supporting commercial/GTM teams in SaaS, tech-enabled services, or B2B software, Expert-level financial modeling skills, Deep knowledge of SaaS and recurring revenue metrics (ARR, MRR, NRR, GRR, ACV, TCV, CAC, LTV, payback, pipeline coverage), Experience with quota-setting, territory planning, or incentive compensation design, Advanced proficiency in Excel or Google Sheets, Experience with Salesforce and BI tools, Ability to work autonomously in fast-paced, post-merger environment 📃 Skills: Excel, Google Sheets, Salesforce, Tableau, PowerBI, SQL, Python, Abacum, Pigment, Adaptive Planning, Financial modeling, Forecasting, SaaS metrics, BI, AI, Automation 🏢 Description: Who We Are Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale. Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon. We deliver this through three comprehensive solutions: Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing. Energy Procurement Advisory: Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms. What we're looking for: We are seeking a strategic and analytically rigorous Finance Business Partner to join the Strategic Finance / FP&A team as our dedicated commercial finance lead for our Sales & Marketing function. This individual will own revenue and sales forecasting, quota-setting, and commercial metrics for the combined Arcadia and ENGIE Impact go-to-market organization, serving as the connective tissue between Finance, Sales, Marketing, and Customer Success. This is a high-visibility, high-impact role for a finance professional who thrives at the intersection of data and strategy. You will partner directly with the Chief Commercial Officer and GTM leadership to translate business performance into financial insight and financial targets into commercial plans. What you'll do: Own the end-to-end revenue forecast model for the commercial organization, integrating pipeline data, bookings, churn, and expansion assumptions across all GTM segments. Serve as the primary finance business partner to the CCO, VP of Sales, and GTM leadership, translating financial data into actionable insights that drive quota attainment, headcount decisions, and growth strategy. Lead the annual quota-setting and territory planning process in close partnership with Sales Operations, ensuring alignment between top-down revenue targets and bottoms-up sales capacity modeling. Build and maintain dashboards tracking key commercial metrics (ARR, NRR, ACV, win rates, CAC, LTV, payback period, pipeline coverage) and deliver regular reporting to the CFO and executive team. Support QBRs, board materials, and investor-facing narratives with GTM financial performance analysis and forward-looking commentary. Partner with Marketing to develop spend efficiency models, track CAC by channel and segment, and assess pipeline contribution from demand generation programs. Drive financial integration work across the Arcadia and ENGIE Impact commercial teams, including harmonizing revenue definitions, CRM data standards, and go-to-market reporting. Lead ad-hoc strategic analyses, including pricing and packaging scenarios, market expansion modeling, and M&A revenue diligence. Continuously improve FP&A processes, tools, and automation in partnership with RevOps, Sales Ops, and the broader Finance team. What will help you succeed: Must-haves: 5+ years of progressive experience in FP&A, strategic finance, investment banking, or management consulting; at least 2 years supporting a commercial or GTM organization in a SaaS, tech-enabled services, or B2B software environment. Expert-level financial modeling skills. Deep fluency in SaaS and recurring revenue metrics: ARR/MRR, NRR, GRR, ACV, TCV, CAC, LTV, payback period, magic number, and pipeline coverage ratios. Demonstrated experience supporting quota-setting, territory carving, or incentive compensation design in partnership with Sales Operations. Strong data skills - proficiency in Excel/Google Sheets at a minimum; experience with Salesforce and BI tools (e.g., Tableau, PowerBI) strongly preferred. Outstanding communication and executive presence. A genuine interest in leveraging AI and automation within FP&A workflows. Ability to operate with high autonomy in a fast-moving, post-merger environment. Nice-to-haves: Prior experience modeling revenue for businesses with mixed revenue types, including subscription, usage-based, non-recurring, and treasury revenue. Experience at an energy, sustainability, or climate technology company. Familiarity with utility bill management, energy procurement, or sustainability reporting. Experience supporting commercial integration following an M&A transaction. Experience with financial planning tools (e.g. Abacum, Pigment, Adaptive Planning). Experience identifying and implementing AI-driven automation opportunities. SQL and/or Python experience. MBA or CFA designation. Benefits: "Remote first" culture - work anywhere in the US with reliable internet connection Flexible PTO with no accrued hours and no limit for exempt employees 11 annual holidays 10 days sick leave Up to 2 weeks bereavement leave 2 volunteer days off 2 professional development days off Parental leave benefits for all parents 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Target Annual Compensation Range: $97,000 to $175,000 plus competitive benefits and bonus component. Please note that visa sponsorship is not available for this position at this time.

🏢 Summary: Enterprise Sales Development Representative role focused on generating and qualifying new business opportunities for the Harness AI Software Delivery Platform. The position involves outbound prospecting, handling inbound inquiries, and collaborating with Account Executives to build sales pipeline and drive revenue growth. This role offers competitive compensation with performance-based bonuses and requires professional Spanish proficiency. 🗂️ Requirements: Professional proficiency in Spanish (written and spoken), Prior cold calling experience, Proven track record in a metrics-driven sales environment, Ability to meet and exceed daily, monthly, and quarterly KPIs, Experience prospecting and researching target accounts, Authorization to work in the U.S. 📃 Skills: LinkedIn, Salesforce, Outreach, LeadIQ, SalesNav, ColdCalling, Prospecting, LeadGeneration 🏢 Description: Position Summary Harness is looking for individuals who are passionate, driven, smart, goal-oriented and motivated to exceed expectations and advance their career in B2B software sales. As an Enterprise Sales Development Representative, you will be responsible for generating new opportunities, handling inbound inquiries, following up on marketing campaigns, and collaborating with the sales team to build pipeline and contribute to revenue growth. This role offers a competitive salary plus bonuses. Important Note Professional proficiency in Spanish, both written and spoken, is required. Key Responsibilities - Research and prospect into target accounts - Cold call, email, leverage LinkedIn and direct mail for strategic outreach - Utilize lead generation tools like LinkedIn Sales Navigator, Salesforce, Outreach, LeadIQ - Act as a collaborative strategic partner to Account Executives - Exceed daily, monthly, and quarterly KPIs and pipeline metrics to achieve sales goals - Conduct high-level conversations explaining the value proposition of the Harness Platform About You - Prior cold calling experience - Proven track record of success in a metrics-driven culture - Curious and creative mindset - Strong desire to learn and improve - Adaptable, professional, and motivated with strong work ethic - Ability to thrive in a fast-paced startup environment - Proactive problem-solving skills - Desire to exceed quotas and expectations - Open to feedback and continuous improvement - Professional proficiency in Spanish (written and spoken) Work Location Austin, TX What You Will Have at Harness - Competitive salary - Comprehensive healthcare benefits - Flexible Spending Account (FSA) - Employee Assistance Program (EAP) - Flexible Time Off and Parental Leave - Quarterly company days off - Social and team-building events - Recharge & Reset Program - Monthly internet reimbursement - Commuter benefits The OTE for this position is $86,000. The compensation package includes a commission/variable component based on performance, plus equity and benefits. A valid authorization to work in the U.S. is required. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.

🏢 Summary: Senior or Staff Product Engineer role focused on building and shipping intuitive, high-performance end-to-end web product experiences in an AI-native accounting platform. The position involves owning full-stack feature delivery from UI to server-side logic, collaborating directly with leadership and design, and setting engineering best practices. The role requires strong frontend expertise, cloud infrastructure knowledge, and hands-on work with modern AI tooling. 🗂️ Requirements: 5+ years of full-stack product engineering experience, Proven experience building and shipping production web applications, Strong practical experience with React and TypeScript, Experience designing and working with AWS or GCP cloud infrastructure, Ability to design and implement scalable server-side logic, Experience delivering end-to-end features from frontend to backend, Ability to work on-site 4–5 days per week in Wrocław 📃 Skills: TypeScript, React, Node.js, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, GitHub, Figma, LLM 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Product Engineer with a strong track record of building intuitive, performant end-to-end product experiences. The defining quality of this role is craft — you care deeply about how things feel to use, and you're energised by the opportunity to make software feel like magic because AI is doing real work behind the scenes. You'll work directly with the CEO, Operations, AI, and Design teams to scope and ship user-facing features. There's no product manager layer here — you'll engage directly with users, iterate quickly, and own the quality of what you deliver from UI through to server-side logic. WHAT YOU'LL WORK ON End-to-end feature delivery Work directly with the CEO, Operations, AI, and Design teams to scope and ship polished, scalable user-facing features with beautiful UI components and robust server-side logic. Engineering best practices Redefine what best-in-class software development looks like for the team. You'll set the standard, not follow it. Technology evaluation Continuously research and evaluate new technologies to improve the speed, scalability, and performance of the product. Bring recommendations and drive adoption. User-focused iteration Engage directly with users to understand how the product is being used, iterate quickly, and deliver experiences that feel genuinely polished — not just functional. WHAT WE LOOK FOR 5+ years of full-stack product engineering A strong track record building and shipping full-stack production web applications that real users depend on. Modern frontend fluency Deep practical experience with React and TypeScript. You write frontend code that is fast, accessible, and maintainable — and you have an eye for detail in UI. Cloud infrastructure experience Familiarity with AWS or GCP architecture and design patterns, and an understanding of how infrastructure choices affect product performance and reliability. Strong communication Clear written and verbal communication. You can articulate trade-offs, give and receive direct feedback, and work well without a lot of process around you. Bonus Experience as a founder or early founding team member. Familiarity with modern LLM tooling and AI-assisted development (Cursor, Claude Code, etc). Background in finance or accounting. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 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: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend systems for a modern accounting platform. The position involves designing distributed services, building high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to develop agentic systems and scalable data pipelines. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing, building, and operating production backend systems at scale, Strong expertise in API design, Strong expertise in data modelling, Deep understanding of distributed systems trade-offs, Hands-on experience with AWS or GCP in production, Practical experience with CI/CD in high-frequency deployment environments, Experience implementing testing and deployment strategies, Strong knowledge of observability practices, Experience participating in on-call rotations 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems 🏢 Description: ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend services for a modern accounting platform. The position involves designing distributed systems, building secure and high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to build scalable data pipelines and incident response infrastructure. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing and operating production backend systems at scale, Strong expertise in API design and data modelling, Deep understanding of distributed systems and architectural trade-offs, Hands-on experience with AWS or GCP in production environments, Practical experience with CI/CD pipelines and automated testing, Experience building and maintaining observability and on-call practices 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems, DataModelling, Observability 🏢 Description: ABOUT THE COMPANY We're an applied AI company building an AI-native alternative to legacy accounting software — a market worth tens of billions in annual recurring revenue. Our mission is to help entrepreneurs focus on what matters in their business and life, and to help their accountants become more strategic. We've raised $20M from a group of top-tier investors and have grown ARR 60% month-on-month since our public launch. We now serve thousands of businesses and are expanding our product to serve accountants directly — creating a two-sided platform where both business owners and their accountants use and recommend us. We're at an early but proven stage, moving fast, and building a world-class engineering team in Wrocław to match our ambition. ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office — this is a deliberate choice, not a compromise. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: The role is for a technically hands-on Application Security Engineer responsible for owning the end-to-end vulnerability management lifecycle and embedding automated security controls into the CI/CD pipeline within a SaaS, cloud-native environment. The position focuses on SAST, DAST, SCA, container and API security, threat modeling, and partnering closely with engineering to remediate risks and mature secure SDLC practices. It is a remote-first role with strong benefits and competitive compensation. 🗂️ Requirements: 3–5 years Application Security experience in SaaS or cloud-native environments, Hands-on experience with at least two of: SAST, DAST, SCA, CSPM tools, Experience integrating and maintaining security tools in CI/CD pipelines, Proficiency with CI/CD platforms (GitHub Actions, Jenkins, or GitLab CI), Experience with container security (Docker, Kubernetes), Experience with API security (REST, GraphQL), Ability to perform vulnerability triage and drive remediation, Experience conducting threat modeling and security design reviews 📃 Skills: SAST, DAST, SCA, CSPM, Snyk, Checkmarx, Semgrep, Wiz, GitHub, Jenkins, GitLab, Docker, Kubernetes, REST, GraphQL, AWS, GuardDuty, SecurityHub, IAM, STRIDE, PASTA 🏢 Description: Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale. Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon. We deliver this through three comprehensive solutions: Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing. Energy Procurement Advisory: Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms. Tackling the world's most complex energy challenges requires diverse thinking. We're building teams of people from different backgrounds, industries, and disciplines — united by a belief that energy management should be simple, intelligent, and a genuine driver of business value. What we're looking for: We are seeking a technically hands-on Application Security Engineer to join the Information Security team. This individual will own the vulnerability management lifecycle across our SAST, DAST, and SCA tooling, integrate security automation into the CI/CD pipeline, perform threat modeling of product and engineering designs, and serve as a trusted advisor to our 300+ person engineering organization. The ideal candidate is a builder who would rather automate a finding than file a ticket, and who can explain a critical vulnerability to a junior developer without making them feel two inches tall. Arcadia is headquartered in Washington, DC, and open to fully remote candidates. What you'll do: Own the end-to-end vulnerability management lifecycle: triage, prioritize, and drive remediation of findings from SAST, DAST, and SCA tooling in partnership with engineering squads. Maintain, optimize, and extend security tooling integrations within the CI/CD pipeline with the goal of automating everything that can be automated. Launch and run a Security Champions program, including workshops and office hours, to embed security knowledge directly into development teams across multiple geographies. Act as the application-layer subject matter expert during security incidents, supporting triage, root cause analysis, and remediation. Partner with Product and Engineering leadership to introduce security touchpoints earlier in the SDLC, including threat modeling and design review processes. What will help you succeed: Must-haves: 3–5 years of dedicated Application Security experience in a SaaS or cloud-native environment. Hands-on proficiency with at least two of the following: SAST, DAST, SCA, or CSPM tooling (e.g., Snyk, Checkmarx, Semgrep, Wiz). Strong working knowledge of CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI) and the ability to write and maintain pipeline integrations. Experience with container security (Docker, Kubernetes) and API security patterns (REST, GraphQL). Demonstrated ability to communicate technical risk to non-security engineers in a way that drives action, not anxiety. Nice-to-haves: Experience standing up or maturing a Security Champions program. Familiarity with cloud-native AWS security services (GuardDuty, Security Hub, IAM Access Analyzer). Exposure to threat modeling frameworks (STRIDE, PASTA, or lightweight equivalents). Relevant certifications (OSCP, GWAPT, CSSLP) — valued but not required. Benefits: "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year 12 annual holidays 10 days sick leave Up to 4 weeks bereavement leave 2 volunteer days off 2 professional development days off 12 weeks paid parental leave for all parents 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Target Annual Compensation Range for this role will be $131,250 to $235,156. There will also be a competitive benefits component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time.

🏢 Summary: Technical Quality Engineering role focused on building and scaling AI-powered test automation and quality self-service systems across engineering teams. The position centers on developing AI-driven E2E testing tools, automated failure analysis, and scalable release quality standards to enable engineers to own quality independently. It combines hands-on test automation, AI tooling development, and cross-team technical enablement in a rapidly evolving environment. 🗂️ Requirements: Experience building AI-powered tools or automations in production environments, Experience designing and implementing automated test strategies across unit, integration, and E2E levels, Hands-on experience with end-to-end test automation using Python and Playwright or equivalent, Ability to design and maintain scalable, reliable automated test frameworks, Experience integrating automation and analysis tools into CI pipelines, Experience coaching engineers on testing practices and improving team-owned quality, Ability to operate effectively in ambiguous, fast-changing environments 📃 Skills: Python, Playwright, AI, LLM, RAG, CI, Automation, Testing, E2E, UnitTesting, IntegrationTesting 🏢 Description: Location: Hybrid 2 days per week, based in Warsaw (Czackiego 15/17). We're open to candidates based outside Warsaw, provided the 2-day commitment is realistically sustainable from where you live. Please don't treat this as a starting point for negotiation - we value the structure and consistency it brings and we want you to see the value in it too. If you're based further away, we'll assume openness to relocation is part of the conversation. About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the team Quality Engineering at hx is undergoing a strategic shift. We're moving from an embedded model, where QEs sit in product teams and deliver hands-on testing, to an enablement model, where a small central team builds the tools, standards, and coaching that help every engineer own quality. It's one of hx's boldest engineering experiments: making quality genuinely self-service without sacrificing the rigour our customers rely on. The team sits at the intersection of test automation, AI tooling, release readiness, and organisational change. We're building AI-powered systems that make end-to-end test creation accessible to all engineers, automate failure classification and routing, and provide the standards, guidance, and feedback loops teams need to make better quality decisions independently. That means shaping quality strategy, improving release risk assessment, and establishing lightweight, scalable processes for staging, deployment, and learning from failure. This is strategic work with company-wide impact, requiring technical depth, strong technical judgement, coaching capability, and comfort with ambiguity. As the third member of this newly formed team, you'll join at a pivotal moment. You'll contribute to the managed transition away from embedded QE support, take ownership of AI-powered automation tools still being defined, and build the foundations that allow hx to scale quality across dozens of engineering teams. Your work will shape whether teams can ship independently, whether release processes stay fast and trusted as we grow, and whether hx can maintain velocity without compromising reliability. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Accelerate the development and adoption of hx's AI-powered end-to-end test writing agent, improving its accuracy and framework coverage to the point where at least 15 engineers across 5+ teams are independently writing E2E tests within six months of widespread release. Design and deploy an AI-powered nightly build analyser that automatically classifies test failures and routes them to owning teams, reducing daily manual review effort by 80% and proving reliable enough to extend to the release pipeline. Establish quality self-service foundations for product teams by delivering test design guidance, executable E2E framework documentation (as AI agent specifications), quality standards references, and release risk assessment templates that enable at least three teams to complete release assessments without direct QE involvement. Support the managed withdrawal of QE support from embedded product teams by contributing to fixed-scope deliverables that ensure no critical gaps in E2E coverage or delivery confidence, enabling both current QEs to transition on schedule with no unplanned regressions. Grow E2E test coverage across the organisation through coaching, pairing, and AI tooling support, increasing the number of product teams writing their own E2E tests to at least 50% within the first 12 months. Build credibility and influence across engineering teams by working alongside engineers to solve real quality challenges, demonstrating the value of team-owned quality through concrete examples rather than process mandates, and making quality ownership feel like teams' own goal rather than an external requirement. What you'll need to have done Built AI-powered tools or automations in production environments (e.g., prompt engineering, agent design, RAG pipelines, or CI-integrated analysis), demonstrating the ability to design solutions others rely on rather than just using AI assistants as coding aids. Designed and implemented automated test strategies across multiple test levels (unit, integration, E2E) for complex systems, making sound judgements about what to test at which level and communicating those trade-offs clearly to non-specialist engineers. Owned end-to-end test automation using Python and Playwright (or equivalent frameworks), writing clean, maintainable tests with clear patterns that other engineers can extend, including experience managing flaky test suites and establishing conventions for new automation from scratch. Coached or enabled engineering teams to improve their testing practices through hands-on pairing and mentoring, demonstrating measurable improvements in team capability such as increased test coverage, reduced manual testing dependencies, or improved release confidence. Influenced quality improvements across teams you didn't directly manage, building credibility through practical demonstration and making benefits concrete rather than relying on process mandates or formal authority. Operated effectively in environments characterised by ambiguity and rapid change, taking ownership of problems from identification through to iterative solution, and adapting approach based on feedback without losing momentum. You're unlikely to thrive here if You prefer clearly defined processes and established playbooks over building the systems and standards from first principles in a rapidly evolving environment. You're more comfortable being the person who delivers quality work directly rather than enabling others to build that capability themselves, or you measure success primarily by your own output rather than what teams can achieve independently. You view AI tools with scepticism or aren't genuinely curious about how to apply them practically to solve real engineering problems, or you're unwilling to learn new languages and frameworks as the problem demands. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits Depending on how you choose to join hx (B2B or UoP), your benefits can look like: B2B Share Options at a highly successful Series B company. 25 days of non-working + 14 Polish bank holidays. £5,000 budget for Learning & Development. Mental Health Support and Therapy via Spectrum Life. Optional for you: access to Healthcare package provided by Luxmed + Multisport (fully funded by yourself as B2B Contractor). Top-spec laptop (MacOS or Windows). Contract of employment (UoP) Share Options at a highly successful Series B company. £5,000 budget for learning & development. 26 days of holiday + 14 Polish bank holidays. Company pension. 10 days company sick pay at 100% salary, thereafter in line with labour law. Mental health support and therapy via Spectrum Life. Monthly wellbeing allowance via Juno. Healthcare package provided by Luxmed. Multisport card at Classic level. Top-spec work equipment (MacOS / Windows + additional monitors, mechanical keyboards etc). Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Brain Embassy . Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Talent Partner Screen Hiring Manager Interview Technical Assessment (e.g., code review, system design) Values Interview with Tech Leadership (60 minutes). We Offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page.

🏢 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.