Strategic Finance Lead, Go-To-Market

🏢 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: 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: This role combines financial operations, investor reporting, go-to-market strategy, and talent scaling within a high-growth SaaS environment. The position owns core finance processes, prepares board materials, supports B2B/AI growth strategy, and leads full-cycle technical recruiting and event planning. It requires hands-on experience building systems across finance, operations, and talent in technology companies. 🗂️ Requirements: Bachelor’s degree in Economics or related field, 2 years of experience in the job offered or related role (e.g., Senior Associate/Analyst), At least 1 year of experience preparing board presentations and investor materials with metrics reporting, At least 1 year of experience building and evolving financial operations, At least 1 year of experience developing go-to-market strategy for B2B or AI-driven products, At least 1 year of experience conducting voice of customer research and market demand analysis, At least 1 year of experience building and scaling organizational systems or functions (talent, finance, operations), At least 1 year of experience conducting interviews with technical and non-technical stakeholders 📃 Skills: FinancialOperations, SaaS, MetricsReporting, GoToMarket, B2B, AI, MarketResearch, VoiceOfCustomer, RegulatoryCompliance, TechnicalRecruiting, AccountsReceivable, AccountsPayable, SalesEnablement 🏢 Description: Duties: Own and operate core financial functions within the business (e.g., accounts receivable, accounts payable, department expense management) Prepare quarterly board presentations and investor materials, reporting on SaaS metrics and company-wide focus areas Create sales collateral and strategy materials that can be leveraged for sales enablement efforts Lead end-to-end planning and execution of offsites and team events Partner with legal to manage regulatory compliance programs Scale the talent function from ad hoc hiring to a structured, systems-driven recruiting engine Lead full-cycle technical recruiting (outbound, inbound, agency coordination) Lead planning of events with other tech startups in NYC to attract top talent into the business Role Requirements: Education Required: Bachelor or foreign equivalent in Economics or related fields Experience Required: 2 years' experience in job offered or related occupations (e.g. Senior Associate/Analyst) Special Requirements: Must have at least 1 year of prior work experience in each of the following: Preparing board presentations and/or investor materials, reporting on metrics and focus areas Helping build and evolve financial operations across areas of the business Developing go-to-market strategy for B2B technology or AI-driven products Conducting voice of customer research and market demand analysis to inform growth strategy for technology companies Building and scaling systems or functions for an organization (e.g., talent, finance, operations) Conducting interviews across stakeholder groups of technical and non-technical backgrounds Work Site: 36 W 25th Street, Floor 16, New York, NY 10010 Compensation: $140k-$160k Salary Benefits Top of the line health, dental and vision insurance, with 100% premium covered 401k matching Free lunch in office Monthly team dinner (we have a lot of foodies) for each office Commuter benefits

🏢 Summary: Staff Software Engineer role focused on owning and evolving billing, payments, and invoicing systems for a high-scale revenue platform processing tens of millions in monthly transactions. The position drives technical architecture, payment integrations, financial correctness, and compliance while partnering with finance and operations teams. You will design resilient distributed revenue systems that ensure transaction integrity, scalability, and auditability. 🗂️ Requirements: 8+ years engineering experience building revenue or payment systems, Proven design of distributed financial systems handling edge cases and transaction integrity, Strong expertise in databases and financial data management, Production experience integrating payment gateways (e.g., Stripe, PayPal), Experience with compliance standards such as PCI-DSS, Ability to design audit logging, reconciliation, and financial reporting systems, Advanced proficiency in Java and JVM internals, Experience using AI-assisted development tools in production codebases, Must be local to Seattle area 📃 Skills: Java, Scala, TypeScript, React, MySQL, PostgreSQL, Snowflake, AWS, Stripe, PayPal, PCI-DSS, Git, GitHub, Datadog, Copilot, Claude, JVM 🏢 Description: Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth. As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient. What you’ll do Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for Design and implement resilient payment processing with support for multiple payment gateways (Stripe, etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack What we’re looking for 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD), MCP/skills optimization, context/prompt engineering Local to the Seattle area While not required, these are a plus BS or MS in Computer Science or a relevant engineering discipline Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition. Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection. When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

🏢 Summary: Product Manager role focused on defining and delivering an enterprise AI platform that powers agent-based, context-aware experiences across a SaaS product suite. Responsible for AI platform strategy, agent orchestration, architecture decisions, governance, and enabling AI capabilities across multiple applications. The role combines platform engineering, applied AI, and cross-functional leadership to scale secure, enterprise-grade AI solutions. 🗂️ Requirements: 5+ years product management experience in enterprise SaaS or platform companies, Minimum 2 years experience with AI/ML platforms or foundational infrastructure products, Experience building AI/ML platforms including LLM orchestration and agent frameworks, Strong knowledge of platform architecture, API design, and distributed systems, Experience with event-driven systems and real-time communication protocols, Experience shipping AI features with enterprise security, audit, and permission controls, Ability to define governance models and platform abstractions, Bachelor's degree in Computer Science, Engineering, or related field 📃 Skills: AI, ML, LLM, APIs, WebSocket, LangChain, LangGraph, AWS, Bedrock, AgentCore, MCP, SaaS, Architecture, Orchestration, DistributedSystems, EventDriven, Cloud, Security, Audit, Infrastructure 🏢 Description: About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity & About the Team As a Product Manager, AI Platform at Zuora, you will define and deliver the foundational platform that powers all of Zuora's AI capabilities. You'll own the end-to-end architecture—from the agent orchestration layer to user-facing interfaces—that enables intelligent, context-aware experiences across our product suite. Your work will directly shape how enterprise customers interact with AI agents that transform subscription management, billing operations, and revenue intelligence. This role sits at the intersection of platform engineering, applied AI, and product design. You'll partner closely with engineering to build the infrastructure that connects AI agents to applications, manages conversation state and memory, and provides the tools layer that lets agents take meaningful action. Your decisions will determine how AI capabilities scale across Zuora's ecosystem while maintaining enterprise-grade security, auditability, and user control. A critical dimension of this role is cross-organizational leadership. You will interface with application product teams across the entire Zuora suite—Billing, Revenue, Payments, CPQ, and Platform—to enable their AI capabilities and experiences. You'll collaborate across the Product Management organization to ensure a unified, coherent end-to-end user experience. Success requires building strong relationships, establishing shared standards and patterns, and balancing platform consistency with the flexibility teams need to deliver differentiated AI experiences for their domains. *This is a Hybrid position, so you’ll be working in-person in the Foster City office at least 3 days a week, with other days remote. Of course, you’re welcome to come into the office more often if you’re nearby. What You'll Do Own AI Platform Strategy – Lead the roadmap for Zuora's AI Platform, including the agent-to-application interaction layer, orchestration and session management, persona-based agent frameworks, and the centralized tools layer that connects agents to Zuora's services and APIs. Enable AI Across the Zuora Suite – Partner with application product teams across Billing, Revenue, Payments, CPQ, and Platform to enable their AI capabilities. Provide platform components, patterns, and UX standards that allow teams to build domain-specific experiences while ensuring a coherent end-to-end user experience across the product portfolio. Drive Platform Architecture Decisions – Partner with engineering on critical technical choices across the stack: cloud infrastructure services, agent development frameworks, memory and context management, and tool integrations that enable agent capabilities. Build Intelligent User Experiences – Define how AI integrates into Zuora's applications, including contextual awareness, conversational interfaces, and seamless interactions across different entry points and modalities. Establish Enterprise Controls – Own the product strategy for AI governance including permissions, configuration management, audit capabilities, and human-in-the-loop controls that give enterprise customers confidence in AI-assisted operations. Evolve Platform Capabilities – Drive development of foundational features that make AI agents smarter, more personalized, and more useful over time—including memory, context management, automation, and new interaction paradigms. Lead Rapid Iteration Cycles – Establish product feedback loops combining quantitative analytics (usage instrumentation, in-app feedback tracking) with qualitative customer insights (structured interviews, session replay analysis) to enable frequent AI releases and continuous improvement. Drive Cross-Functional Execution – Collaborate across engineering, design, and product teams to deliver cohesive AI experiences. Lead UX audits to ensure consistent component usage and establish decision frameworks for when custom experiences add value versus complexity. Establish External Thought Leadership – Represent Zuora in customer advisory discussions, industry events, and analyst briefings to position Zuora as a leader in enterprise AI platform innovation. About You 5-8+ years of product management experience with demonstrated success at leading enterprise SaaS or platform companies, with at least 2 years focused on AI/ML platforms, developer platforms, or foundational infrastructure products Deep experience building AI/ML platforms, including LLM orchestration, agent frameworks, conversation management, or similar technologies that power intelligent user experiences Strong technical foundation in platform architecture, API design, event-driven systems, and distributed architectures—comfortable partnering with engineering on decisions involving WebSocket protocols, agent orchestration, and memory management Proven success with platform products serving multiple internal and external consumers, including experience defining abstractions, establishing governance models, and balancing platform flexibility with product consistency Strong cross-functional collaboration skills with demonstrated ability to influence and align multiple product teams, establish shared standards, and drive adoption of platform capabilities across an organization Experience shipping AI features to enterprise customers, including navigating requirements around security, audit, permissions, and human-in-the-loop controls Data-driven product development approach with experience instrumenting features, analyzing usage patterns, and using feedback loops to drive rapid iteration Executive presence and ability to influence stakeholders across functions, including engineering leadership and C-level audiences Bachelor's degree in Computer Science, Engineering, or related technical field Nice to Haves Experience with agent frameworks and orchestration (LangChain, LangGraph, AWS Bedrock/AgentCore, or similar) Familiarity with MCP (Model Context Protocol) or similar tool-use patterns for AI agents Background in subscription billing, revenue platforms, or enterprise financial systems (Zuora, Salesforce, Oracle, SAP) Experience with real-time communication protocols and event-driven architectures Track record of building platforms that serve both internal product teams and external developers Advanced degree in Computer Science, AI/ML, or a related field Benefits Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide: Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs Medical, dental, and vision insurance Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy) Learning & development stipend to support ongoing growth Opportunities to volunteer and give back, including charitable donation matching where available Mental wellbeing resources and support *Benefits may vary by location; details will be shared during the interview process #ZEOLife at Zuora ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We: Collaborate deeply across teams and regions Learn constantly and iterate often Build an inclusive, high-performance culture where people feel inspired, connected, and valued Our Commitment to an Inclusive Workplace Think, be and do you.At Zuora, different perspectives, experiences, and contributions matter — everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here.Base Pay Details$146,500—$201,450 USD

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 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: Senior Account Executive role owning the full enterprise SaaS sales cycle for an AI-driven energy intelligence platform, selling to C-suite leaders in large organizations. Responsible for building pipeline, managing complex multi-stakeholder deals, and closing high-value contracts in the energy and sustainability space. Hunter-focused position with accountability for bookings, forecast accuracy, and revenue growth. 🗂️ Requirements: 6+ years B2B enterprise SaaS sales experience, Proven record of meeting or exceeding quota in complex multi-stakeholder deals, Experience closing complex SaaS or technology deals, Ability to understand complex technical concepts and translate customer value, Experience in startup or high-growth environment, Experience selling to senior executives and C-suite, Ability to independently manage complex sales cycles, Bachelor's degree or equivalent experience, Strong collaboration with marketing, sales, and product teams 📃 Skills: SaaS, Sales, Prospecting, Forecasting, Negotiation, Presentation, RevenueStorm, Challenger, AccountPlanning, PipelineManagement 🏢 Description: What is Verse? Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical. Energy markets are more volatile than ever yet solutions remain anchored in the past. Verse helps organizations manage complex power portfolios by unifying energy and sustainability data, planning, forecasting, and operations in one tool. The Energy Intelligence platform, Aria, brings together energy, sustainability, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. The Role We are looking for a Senior Account Executive to own the full sales cycle for Aria™ — from first outreach through contract execution — with clear accountability for bookings, pipeline, and forecast accuracy. As a Senior Account Executive, you will own the full revenue cycle — from outbound prospecting to signed contract — selling Aria™ to enterprise procurement, finance, and sustainability leaders at large organizations. This is a hunter role for a closer who can earn trust in a boardroom, navigate complex buying committees, and operate with urgency and resourcefulness in a start-up environment. You will report directly to the Head of Sales and collaborate with teams across product, biz-ops, marketing, and leadership. Key Responsibilities - Engage C-suite and VP-level stakeholders as a credible partner, translating AI-driven value into language that resonates with CFOs and Chief Sustainability Officers. - Apply the Revenue Storm methodology to systematically advance enterprise accounts, map buying committees, control deal processes, and create urgency. - Build and maintain a pipeline 3× quota target through outbound prospecting, referrals, and strategic account targeting. - Collaborate with product, data science, and customer success teams to align buyer requirements with platform capabilities while owning revenue outcomes. - Forecast accurately and consistently close deals. - Represent the company at industry events, CEO roundtables, and conferences. What We're Looking For (Minimum Qualifications) - 6+ years of B2B enterprise SaaS sales experience with consistent quota achievement. - Demonstrated ability to understand complex technical concepts and translate customer value. - Experience at a start-up or high-growth company. - Proven track record closing complex SaaS or technology deals. - Experience building relationships with senior executives and C-suite buyers. - Strong ability to independently manage complex sales cycles. - Demonstrated history of meeting or exceeding sales quotas. - Excellent communication, negotiation, and presentation skills. - Bachelor's degree or equivalent experience. - Strong collaboration skills across marketing, sales, and product teams. What Will Make You Standout (Preferred Qualifications) - Experience selling into energy buyers or climate/energy software. - Experience in high-growth startup environments (Series A–C). - Track record closing enterprise deals above $100k ACV. - Experience selling solutions combining software and professional services. - Familiarity with structured sales methodologies (Revenue Storm, Challenger). - Strong account planning and opportunity management skills. - Experience working alongside consulting or implementation partners. Compensation On Target Earnings Range: $290,000 - $350,000. This range does not include benefits or potential equity grants. Compensation decisions consider skill sets, market conditions, experience, training, certifications, and business needs. Benefits - Competitive compensation and equity grant at a high-growth startup. - Comprehensive benefits package including medical, dental, vision insurance, and 401k. - Flexible hours and unlimited PTO. - Diverse and inclusive working environment. Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

🏢 Summary: Senior Business Analyst role focused on leading enterprise-scale initiatives in a cloud-native SaaS environment, driving data-driven strategy and AI-enabled productivity across business, product, and technology teams. The position shapes business analysis frameworks, defines strategic roadmaps, and influences executive decision-making. Fully remote within U.S. time zones. 🗂️ Requirements: Bachelor’s degree in Business, Information Systems, Technology, or related field, 9–12 years of business analysis or strategic experience in B2B SaaS, Expertise in process, data, and systems analysis, Experience collaborating with Product, Engineering, and GTM teams, Experience with SaaS metrics such as ARR, churn, customer lifecycle, product adoption, Proven experience leveraging AI-powered tools for analysis and decision-making, Ability to lead enterprise-scale initiatives, Legal authorization to work in the U.S. 📃 Skills: SaaS, AI, Analytics, Data, Systems, ARR, Churn, GTM, Cloud, SaaSMetrics 🏢 Description: Elite is the trusted automation platform for law firm operations across most of the world's largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite's products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.Position Overview The Senior Business Analyst serves as a strategic advisor and enterprise-level thought leader, shaping how Elite defines problems, delivers solutions, and scales analytical excellence. This role focuses on long-term impact, organizational alignment, and elevating business analysis maturity across the company. Work Arrangement: Remote This role requires the individual to be based in Flexible across U.S. time zones. Responsibilities Partner with senior leaders to define enterprise problem statements, success metrics, and strategic roadmaps. Lead mission-critical or enterprise-scale initiatives with high visibility and impact. Drive alignment across business, product, and technology strategies. Identify and scale AI-enabled productivity opportunities, embedding AI-powered tools and workflows to accelerate analysis and improve decision-making across the organization. Anticipate future business needs and proactively design scalable, forward-looking solutions. Demonstrated fluency in leveraging AI-powered tools to accelerate analysis, enhance decision-making, and improve day-to-day productivity. Establish, evolve, and govern business analysis frameworks and best practices. Coach, mentor, and develop business analysts across all levels. Represent the Business Analyst function as a trusted advisor to leadership. Influence enterprise decision-making through data-driven insights and recommendations. Strong stakeholder communication skills. Perform other duties as assigned to support departmental and company objectives. Qualifications Bachelor's Degree in Business, Information Systems, Technology, or related field, or equivalent experience. 9–12 years of experience in business analysis or related strategic roles, preferably within B2B SaaS environments. Deep expertise in process, data, and systems analysis. Experience working cross-functionally with Product, Engineering, and GTM teams in a SaaS organization. Familiarity with key SaaS metrics (e.g., ARR, churn, customer lifecycle, product adoption) and data-driven decision making. Exceptional strategic thinking, judgment, and executive communication skills. Strong change leadership and organizational awareness. Proven ability to scale impact through influence and mentorship. Ability to travel up <10% as business needs require. Role requires the following physical capacity: Sedentary: primarily desk/computer work. Must be legally authorized to work in the United States; Elite does not provide employment sponsorship for this position. Benefits: Competitive Compensation Package ($140,000 - $160,000 base salary + variable component) Comprehensive Healthcare Coverage (Health, Dental, Vision) Retirement Savings Plan with an Employer Contribution Professional Development Opportunities Time Off Wellness Initiatives Employee Assistance Program Generous Global Parental Leave Calm, free premium subscription Employee Discount Program Please note that we do not offer sponsorship for this position. Additional Information At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter. In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment. Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma. As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. We are not accepting applications submitted through recruiting agencies.

🏢 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.