Solutions Engineering Manager

🏢 Summary: Design and ship 0–1 agentic marketing tools that use first-party data and machine learning to support real-time customer-journey decisions. This remote North America role emphasizes rapid prototyping, customer research, product strategy, and close collaboration with design, engineering, and product teams. 🗂️ Requirements: 6+ years designing and shipping user-friendly features or applications in technical spaces, Strong visual, UI, and interaction design skills, Ability to take user problems from concept to high-fidelity solutions, Figma proficiency, Ability to work in rapid, ambiguous experimentation cycles and iterate from feedback, Availability to work remotely in North America 📃 Skills: Figma, UI, Prototyping, Framer, Cursor, Claude 🏢 Description: Why this role matters Design the future of agentic marketing at a critical inflection point. The work focuses on building AI agents that make real-time, data-driven decisions across entire customer journeys. This is 0–1 product work in an emerging space. The team is building tools that blend first-party data with machine learning models to unlock new outcomes. The design team The remote-first design team works with minimal process and bureaucracy, emphasizing shipping, learning, and iteration. How we work: • Weekly crits: Share work and receive constructive feedback from relevant stakeholders. • Design jams: Collaborate on major initiatives such as color palettes, new patterns, and practice retrospectives. • Design system: Contribute to an expanding library and regularly synchronize with engineering. • Design cooldown: Participate in bi-weekly experimentation with new tools, design exercises, and side projects. Past activities include interactive Framer prototypes, AI design tools, and collaborative illustration. What you'll do Create and iterate on powerful tools for marketing teams using the Agents product suite. • 0–1 innovation: Build new products in uncharted territory. • Rapid iteration: Demonstrate thinking through rapid designs and prototypes rather than lengthy presentations. • Product strategy: Connect directly with customers through research sessions; synthesize usage data and feedback; use insights to influence product direction and prioritization. • Live collaboration: Work directly with designers, engineers, and product managers to define product details. • High growth: Learn quickly while building new capabilities. What you bring • 6+ years designing and shipping user-friendly features or applications in technical spaces; experience with B2B data or marketing products is a bonus. • Curiosity about AI and hands-on exploration of new technologies. • Strong visual, UI, and interaction design craft; ability to take a user problem from idea to a high-fidelity solution. • A kind, humble, collaborative approach and willingness to seek understanding before reacting. • Figma proficiency is required. Familiarity with Cursor, Framer, or Claude Code is a bonus. The reality check This role operates in rapid experimentation mode. You must be comfortable making decisions with incomplete information and iterating based on learnings. It is suited to candidates who want to build products that did not exist months earlier and own their domain in a fast-moving environment. Interview process • Recruiter screen [30m]: Introductory call. • Manager screen [30m]: Conversation about work history and career trajectory. • Team portfolio review [30m]: Review of previous work. • Design exercise [60m]: Live collaborative exercise to break down a problem; no homework. • Follow-up 1:1s [30m]: Meet team members and address final questions. FAQs • This role is remote for North America, with optional offices in NY, SF, and Charlotte. • Formal levels are not used; compensation and role scope will align with actual experience and skills. • Candidates may submit one application only and should apply to the role for which they are most qualified. E-Verify Statement After joining, eligibility to work in the U.S. will be verified by submitting Form I-9 information to the Social Security Administration and, if needed, the Department of Homeland Security. This occurs post-hire only and is not used to pre-screen applicants.

🏢 Summary: Staff AI Productivity Engineer role focused on improving AI-assisted software development through autonomous cloud environments, agent integrations, tooling, and documentation. The position owns the internal AI development experience end-to-end, working across CI/CD, infrastructure, internal systems, and application code. Compensation is $180,000–$400,000 USD plus equity under a remote-first policy. 🗂️ Requirements: Strong software engineering fundamentals, Hands-on experience with AI coding agents, Experience creating agent documentation, custom instructions, or context files, Track record of building developer tools or infrastructure used by engineers, Ability to work across CI/CD, cloud infrastructure, internal tooling, and application code 📃 Skills: Backend, Cloud, CI/CD, Infrastructure, Documentation, Claude, Cursor, Copilot, Devin, TypeScript, JavaScript, Go, GraphQL, MCP, CircleCI, Slack, Datadog, GitHub 🏢 Description: About the Role We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase. AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive—not just available—will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software. You'll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats. Some of the problems we'll be working on include: • Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, and more. • Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, GitHub, and more. • Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use. • Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better documentation and tooling access. Develop tooling for non-engineers to make simple visual updates to our application. • Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of state-of-the-art industry practices and driving those improvements across the organization. We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000–$400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, including early exercise and a 10-year post-termination exercise window. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. Must have • Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly. • Deep hands-on experience with AI coding agents, such as Claude Code, Cursor, Copilot, Devin, or similar tools. • Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output. • Track record of building developer tools or infrastructure that other engineers actually use. • Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code. Nice to have • Experience building or contributing to MCP servers or similar agent-tooling integrations. • Background in developer productivity, platform engineering, or developer experience roles. • Experience with TypeScript/JavaScript monorepos, Go, and GraphQL. • Experience setting up sandboxed or containerized development environments at scale. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day-to-day job. • Apply: Run curl jobapi.hightouchdata.com on port 13784 and follow those instructions before applying. • Recruiter Screen (30m): Introductory call with the recruiting team to get to know each other and assess mutual fit. • System Design Screen (45m): Design a data-processing feature end-to-end. • AI Skills Interview (60m): Discuss how you leverage AI and how you've helped others do the same. • Hiring Manager Interview (45m): Discuss past experiences and future operating preferences to assess fit on values and operating principles. • System Design Interview (90m): Work with the interviewer to architect a system at a conceptual level, incorporating product, customer, and technical requirements. E-Verify Statement After you join the team, eligibility to work in the U.S. will be verified by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only and is not used to pre-screen applicants.

🏢 Summary: Senior Enterprise Sales Engineer role supporting strategic Southwest-region opportunities through technical discovery, proof-of-concepts, and executive presentations. The position requires fluent English and Spanish, strong enterprise pre-sales experience, and hands-on analytics and data skills to drive complex technical evaluations. 🗂️ Requirements: Fluent English and Spanish, 5+ years of software pre-sales, sales consulting, or technical account management experience, Hands-on SQL experience with joins, aggregations, and window functions, Ability to explain technical concepts to engineers and business stakeholders, Experience closing technical evaluations in competitive enterprise deals, Self-directed learning of technical concepts and integrations 📃 Skills: SQL, Python, APIs, R, Tableau, Looker, PowerBI, GA4, Mixpanel, AdobeAnalytics 🏢 Description: Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role FLUENT ENGLISH & SPANISH SPEAKING IS A REQUIREMENT / MUST As a Senior Sales Engineer, Enterprise at Amplitude, you'll be the technical quarterback for our most strategic opportunities in the southwest region. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What You'll Do Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior SEs on technical positioning and demo best practices Thought Leadership (10% of time) Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team What We're Looking For Required 5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles) Fluent Spanish speaking is a MUST You must be comfortable speaking to nuanced technical concepts and be a self-learner (examples include: Python, SQL, hyperscaler integrations, APIs, R) Hands-on SQL experience: you can write joins, aggregations, and window functions to analyze behavioral data Track record of closing technical evaluations in competitive enterprise deals Comfort presenting technical concepts to both engineers and business stakeholders Strongly Preferred 2+ years working specifically with product analytics, experimentation platforms, or customer data platforms Experience with event-based data models and understanding of tracking implementations Familiarity with BI tools (Tableau, Looker, Power BI) and how analytics platforms integrate with them Previous work in SaaS companies selling to Product, Growth, or Marketing teams Understanding of regional data and data privacy implications for analytics tools What Success Looks Like First 90 days: Ramp on Amplitude's platform, complete 3+ customer-facing demos, and contribute to 2 proof-of-concepts First year: Influence closed-won ARR, maintain 70%+ technical win rate, and develop 2 reusable assets for the team Why This Role Matters Sales Engineers are force multipliers at Amplitude. The deals you win don't just hit quota: they prove that product analytics drives measurable business outcomes for enterprises navigating digital transformation. You'll have direct visibility into our product roadmap, executive strategy discussions, and the ability to shape how we compete in the Toronto market. About Amplitude Amplitude is a leading digital analytics platform that helps companies unlock the power of their products. Almost 3,500 customers, including Atlassian, NBCUniversal, Jersey Mike's, Decathlon, and Rocket Companies, rely on Amplitude to gain self-service visibility into the entire customer journey. Our Values: Humility No ego: We operate from a place of empathy & openness and seek to understand many points of view. Listen to understand. Invite help to increase impact. Recognize others' strengths. Ownership We take the initiative to solve problems that drive our shared company success. Solve root problems, not symptoms. Define success as Company → Team → Self. Follow through to ensure last-mile execution. Growth Mindset We're tenacious in the face of challenges and seek input in order to grow ourselves and others. Experiment boldly. Seek and act on feedback. Lean into discomfort. Customer Centricity We put the customer at the center of everything we do. Talk to customers. Understand customers' needs. Focus on customer outcomes. Who We Are The Company: Amplitude is filled with humble, life-long learners who are eager to help one another and the company succeed. Our values of growth mindset, ownership, and humility are core to the way we work: we’re tenacious in the face of challenges, we take the initiative to solve problems that drive our shared success, and we operate from a place of empathy and openness, seeking to understand many points of view. The Product: Amplitude is a digital analytics platform—we help companies capture data they can trust, uncover clear insights about customer behavior, and take faster action. This empowers teams to build better product experiences that drive business growth. We’re super proud of what we’ve built and continue to expand: a platform that empowers companies to thrive in the digital era. We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers. Some of our benefit programs include: Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans Fidelity 401K with match Flexible time off, paid holidays, and more Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), home office equipment (annual), and much more Excellent Parental benefits including: 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy Sessions and high quality physician office experience via One Medical membership (select U.S. locations only) Employee Stock Purchase Program (ESPP) Other fun facts about Amplitude: We were recognized in the Newsweek Excellence Index 2024 . Our customers love us! They've said we're the #1 product analytics solution for 19 quarters in a row on G2. We care A LOT about product innovation. Fast Company called us the #3 most innovative enterprise company in the world. We invest in our people. We offer mentorship programs, management training, and wellness initiatives. We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off. We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL. We’re a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom. Amplitude provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. This role is eligible for equity, benefits and other forms of compensation. Based on legislation in California, the following details are for individuals who will work for Amplitude in San Francisco Bay Area of California. Salary range: $194,000 - $291,000 total target cash (inclusive of bonus or commission) Based on legislation in California, the following details are for individuals who will work for Amplitude in California outside of the San Francisco Bay Area. California salary range: $174,000 - $261,000 total target cash (inclusive of bonus or commission) #LI-GF1 By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice . Staying Safe - Protect Yourself From Recruitment Fraud We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @ amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article . Please exercise caution and cease communications if something feels suspicious about your interactions.

🏢 Summary: Senior Product Designer role focused on building scalable platform experiences for governance, access, teams, identity, and multi-organization workflows. The position partners with product and engineering to translate complex technical problems into high-quality, data-rich UI, prototypes, and cohesive admin experiences. 🗂️ Requirements: 10+ years of digital product design experience, Experience designing data-rich interfaces, Ability to translate complex technical topics into clear UX, Technical fluency to evaluate engineering tradeoffs, Experience with component-based patterns and design systems, Strong written and verbal communication skills 📃 Skills: UX, UI, Prototyping, Figma, Claude, Cursor, AI 🏢 Description: Role Overview We’re looking for a Senior Product Designer with a passion for building platform features that impact UX at a massive scale. As a member of AAA, you’ll work across a breadth of problem spaces on deeply technical topics, such as governance, access, teams, identity, and multi-org UX. You’ll lead design for features that mediate how Datadog’s biggest customers use the platform and manage what their employees can see and do. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do AAA is a highly technical product environment, where designers strive to understand the technical workflows, constraints and opportunities within this domain. As you develop subject matter expertise, you’ll use your influence as a Senior designer to drive the roadmap and vision. Day-to-day, you’ll work closely with your PM and engineering partners to understand customers’ pain points, explore solutions, and build UI that ships. Prototyping in code creates the opportunity to share high-fidelity ideas at early stages, even if the design itself is low-fidelity. Tight feedback loops let your team iterate quickly, building towards an ideal vision for the best possible experience while you ship incremental steps towards that goal. In addition to making the work, you will also share your work with stakeholders at varying levels of seniority, all the way up to executive leadership level. Your crisp context setting and clear description of your solution will help people understand your choices and sell them on your proposal. Your work will up-level the quality bar for what an admin experience can look like. While you’ll leverage Datadog’s design system where it makes sense, you won’t let it prevent broad exploration of different design patterns in the service of finding the optimal solution. As part of a Platform team, you’ll interface with product teams where our features overlap with theirs, ensuring a coherent experience across different contexts that serves both teams’ goals. You’ll stress-test your work against a variety of edge cases, ensuring it holds up in all of the contexts it will live in. Who You Are You have 10+ years of experience in digital product design You have experience designing data-rich interfaces You love the challenge of translating complex technical topics into clear UX You develop fluency in the technical subject matter your product depends on and you can collaborate as a peer with engineering to weigh different solutions and evaluate tradeoffs You have exceptional craft and the drive to elevate the look-and-feel of even workhorse UI You have experience creating component-based design patterns and working with established design systems, though you relish the chance to explore new approaches Your work is informed by a deep understanding of user archetypes and business needs You value data driven decision making but are also confident making a judgment call based on your expertise You have strong written and verbal communication skills that show up in how you share in, Slack messages, meetings docs, presentations, video walkthroughs, and anything else. You're fluent in AI-assisted workflows, using tools like Claude Code, Cursor, or Figma Make daily for research, analysis, content generation, and rapid prototyping. You’re excited to use these tools to try different approaches to creating design artifacts. A strong eagerness to adopt these approaches counts if you’re newer to them. You are energized by working on multiple projects simultaneously You give and receive feedback well, supporting and improving the work of your colleagues as well as your own Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $162,000 — $202,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

🏢 Summary: Senior remote Salesforce Revenue Cloud Developer role focused on building production-grade CPQ and Billing solutions, integrations, automation, and Lightning Web Components. The position owns technical delivery from design through release, using CI/CD and AI-assisted development practices while mentoring developers and supporting global client engagements. 🗂️ Requirements: 5+ years of hands-on Salesforce development experience, 3+ years of production Salesforce Revenue Cloud CPQ and/or Billing development, At least two end-to-end Revenue Cloud engagements delivered through go-live, Salesforce Certified Platform Developer I, Production Apex development for CPQ extensions, Billing automation, amendments, renewals, proration, and co-term logic, Lightning Web Components development, Salesforce Flow architecture and automation, Revenue Cloud integrations with ERP, billing, or financial systems, REST and SOAP API integration development, Salesforce DX, Git-based development, and CI/CD experience, Apex unit testing with meaningful assertions and 85%+ code coverage, Salesforce performance, security, governor-limit, SOQL, and DML expertise, AI-assisted development practices with responsible engineering standards 📃 Skills: Salesforce, RevenueCloud, CPQ, Billing, Apex, LWC, Flow, SOQL, DML, REST, SOAP, MuleSoft, Workato, NetSuite, SAP, Sage, Stripe, PlatformEvents, CDC, SalesforceDX, Git, GitHubActions, Copado, Gearset, PMD, Agentforce, LLM 🏢 Description: Salesforce Revenue Cloud Developer Location: Remote / Global  ·  Function: Commercial Excellence Practice  ·  Level: Senior/ Developer Revenue Cloud Dev Apex & LWC CPQ & Billing CI/CD & DevOps AI-Native Delivery About TechTorch TechTorch is a high-growth enterprise technology consultancy that partners with the world's leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale. Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators. TechTorch was founded by seasoned leaders - including former Bain consultants, CIOs, and tech executives - with deep expertise in technology, transformation, and value creation. We were built to succeed and to deliver results that matter. Role Overview We are seeking an experienced Salesforce Revenue Cloud Developer to join TechTorch's Commercial Excellence Practice. This is a senior, hands-on development role for an engineer who has deep, production-grade experience building and customising Salesforce Revenue Cloud - including CPQ extensions, Billing integrations, Apex invocables, LWC components, and platform automation - and who can translate complex quote-to-cash requirements into scalable, maintainable technical solutions. You will be the technical engine on Revenue Cloud engagements, responsible for Apex development, Flow architecture, integration build, and code quality. You will work alongside TechTorch solution architects, consultants, and AI-native tooling to deliver at pace for PE-portfolio clients. What You'll Do Revenue Cloud Development - Hands-On Build Deep, production-level development experience is required across the following Revenue Cloud and platform capabilities: CPQ Apex Extensions: Build and maintain CPQ Apex classes such as SBQQ.QuoteCalculatorPlugin, CPQ Price Rules callbacks, Product Configurator extensions, and Custom Script replacements. Billing Automation: Develop Apex triggers, invocable methods, and batch jobs to automate billing schedules, invoice generation, payment processing, credit note creation, and billing exception handling. Amendment & Renewal Logic: Build Apex-driven amendment and renewal flows including co-term calculations, proration logic, contract line management, and renewal opportunity creation. Invocable Apex for Flows: Design and build invocable Apex methods called from Record-Triggered and Screen Flows to extend Revenue Cloud processes beyond declarative limits. LWC Development: Build Lightning Web Components for custom quote line editors, pricing calculators, product configurators, approval UIs, and billing dashboards embedded in the Salesforce UI. Platform Events & CDC: Use Platform Events and Change Data Capture to trigger real-time integrations and downstream system notifications from Revenue Cloud transactions. Batch & Async Apex: Write batch, queueable, and scheduled Apex for large-volume Revenue Cloud operations including invoice runs, renewal processing, and usage rating. Flow Architecture: Design and build Record-Triggered Flows, Screen Flows, Autolaunched Flows, and Subflows supporting CPQ and Billing process automation at scale. Validation & Rules: Implement validation rules, custom formula fields, and Apex-based constraint logic enforcing quote, contract, and billing data quality standards. Agentforce Revenue (Advanced Advantage): Knowledge of Agentforce Revenue SDK, agent actions, agent topics, and AI-assisted quoting or billing automation is highly desirable. Integration Development Design and build integrations between Revenue Cloud and ERP systems (NetSuite, SAP, Sage), billing platforms (ZoneCo, Stripe), and financial systems. Develop REST and SOAP API integrations, inbound and outbound, with appropriate error handling, retry logic, idempotency, and monitoring. Build and maintain integration payloads, field mapping specifications, and data contract documentation for each connected system. Work with middleware platforms such as MuleSoft, Workato, or similar iPaaS tools to govern integration delivery and operational monitoring. Ensure revenue data integrity, reconciliation, and traceability between Salesforce and downstream finance or billing systems. DevOps, CI/CD & Release Management Own technical delivery through the full dev lifecycle: development, code review, unit testing, sandbox validation, staging deployment, and production release. Use Salesforce DX (sfdx), version control (Git), and CI/CD pipelines (GitHub Actions, Copado, Gearset, or equivalent) for reliable, repeatable deployments. Manage metadata deployments, change sets, scratch orgs, and sandbox refreshes across project environments. Write and maintain Apex unit tests meeting or exceeding 85% code coverage, with a focus on meaningful assertions over coverage gaming. Troubleshoot and resolve production issues including governor limit violations, SOQL performance, integration failures, and Flow errors. AI-Native Development Use AI-native delivery practices including LLM-assisted code generation, Apex development, Flow design, and integration specification drafting. Apply conversational development workflows using natural language prompts to generate, refine, test, debug, and document Salesforce technical artifacts. Use AI tools responsibly while maintaining strong engineering discipline, code quality, security standards, and platform best practices. Contribute to TechTorch's AI-native accelerator library by documenting reusable patterns, prompt templates, and technical tooling. Technical Leadership & Collaboration Collaborate closely with solution architects and consultants to translate functional designs into technical build plans. Participate in technical design reviews, code reviews, and sprint retrospectives. Mentor junior developers in Salesforce development standards, Revenue Cloud patterns, and AI-native tooling. Produce clear technical documentation including solution designs, API specs, data flow diagrams, and deployment runbooks. Who You Are Revenue Cloud & Quote-to-Cash Development Hands-on, production-level development experience extending Salesforce Revenue Cloud (CPQ and Billing) - not just configuration, but code written and deployed to production. Deep understanding of the CPQ data model: SBQQ__Quote__c, SBQQ__QuoteLine__c, SBQQ__Product2__c, SBQQ__PriceRule__c, SBQQ__ProductRule__c, and related objects. Deep understanding of the Billing data model: blng__Invoice__c, blng__BillingSchedule__c, blng__UsageSummary__c, blng__Order__c, and payment-related objects. Experience writing CPQ Apex extensions including Quote Calculator Plugin, custom pricing logic, and product configuration callbacks. Experience developing Apex for amendment flows, renewal automation, proration, and co-term billing logic. Experience integrating Revenue Cloud with NetSuite SuiteBilling, ZoneCo, Stripe Billing, or equivalent downstream billing systems. Knowledge of Agentforce Revenue SDK and AI-assisted quoting or billing automation is a strong plus. Salesforce Core Development Expert-level Apex development: triggers, classes, invocable methods, batch, queueable, scheduled, and test classes with meaningful assertions. Strong Lightning Web Component (LWC) development including component composition, wire adapters, Apex integration, and UI API usage. Deep understanding of Salesforce governor limits, SOQL and DML best practices, bulkification patterns, and performance optimisation. Strong understanding of Salesforce security model: OWD, role hierarchy, sharing rules, with-sharing / without-sharing, field-level security, and permission sets. Proficiency with Flow Builder: Record-Triggered Flows, Screen Flows, Autolaunched Flows, Subflows, and Apex-called and Apex-invoked patterns. Familiarity with Salesforce Experience Cloud, Service Cloud, and Sales Cloud development patterns is a plus. Integration & APIs Strong understanding of Salesforce REST and SOAP APIs: Bulk API, Streaming API, Platform Events, Change Data Capture, and Composite API patterns. Experience designing and building bi-directional integrations with error handling, retry, idempotency, and operational monitoring. Familiarity with middleware platforms such as MuleSoft, Workato, or similar iPaaS tools. Ability to produce and maintain integration data contracts, field mappings, and API specifications for downstream and upstream systems. DevOps & Engineering Discipline ▪  Proficiency with Salesforce DX, Git-based version control, scratch orgs, and metadata-driven development. ▪  Experience with CI/CD tooling: GitHub Actions, Copado, Gearset, or equivalent. ▪  Commitment to code quality: meaningful unit tests, peer code review, static analysis (PMD / Salesforce Code Analyser), and consistent naming and documentation standards. ▪  Ability to troubleshoot complex production issues including governor limits, SOQL performance, async failures, and integration errors. AI-Native Capability Demonstrated ability to use AI-native delivery practices including LLM-assisted development, rapid prototyping, and AI-supported documentation. Comfortable using conversational development workflows to generate, refine, test, debug, and explain Apex, Flows, LWC, integrations, and APIs. Ability to use AI tools responsibly while maintaining strong engineering discipline, code quality, security, and platform best practices. Soft Skills Strong communication and collaboration skills - able to work with architects, consultants, business users, QA teams, and project managers across global time zones. Ability to translate business requirements and solution designs into high-quality, documented technical deliverables. Able to explain technical options, constraints, and trade-offs clearly to both technical and non-technical stakeholders. Strong problem-solving mindset with attention to quality, maintainability, and long-term scalability. Experience mentoring junior developers is a plus. Qualifications Experience 5+ years of Salesforce development experience with strong hands-on implementation delivery. 3+ years of direct, hands-on Salesforce Revenue Cloud (CPQ and/or Billing) development experience - code written and deployed to production. Proven delivery of at least two end-to-end Revenue Cloud development engagements from technical design through go-live. Experience working within or alongside PE-backed businesses or high-growth commercial environments is a plus. Certifications (Preferred) Salesforce Certified Platform Developer I (required) Salesforce Certified Platform Developer II (strongly preferred) Salesforce Certified Administrator or Platform App Builder Salesforce Certified CPQ Specialist (strongly preferred) Salesforce Revenue Cloud Consultant (desirable - demonstrates domain depth alongside technical skill) Salesforce Certified Application Architect or System Architect is a plus, but not required. PSA vendor certifications (Certinia/FinancialForce, Kantata, or Kimble) are a plus. Our Values Our values reflect the DNA of the private equity-backed companies we serve - focused on speed, ownership, accountability, and results. Client First: We focus relentlessly on delivering outcomes that create value for our clients. We, Not Me: We win together. Collaboration drives transformation at scale. Get Stuff Done: We execute with speed and precision - because in PE, time matters. AI First: We embed AI at the core, enabling scalable, high-leverage solutions. Own It: We take accountability for results, delivering on what we promise. Agile Mindset: We adapt quickly and proactively seek better ways to move forward. What We Offer The opportunity to work at the forefront of AI-powered enterprise technology consulting, building production Revenue Cloud solutions for PE-portfolio companies. A high-impact engineering environment where code quality, delivery speed, and technical ownership are rewarded. Exposure to top-tier private equity firms and their portfolio companies across multiple industries and geographies. A global, collaborative team focused on results, innovation, and technical excellence. Access to TechTorch's AI-native delivery tooling, Revenue Cloud accelerator library, and internal knowledge base. Fast recruitment process 60 min tech call and 30 min manager call