About Our Client Our client provides a leading marina management platform serving entertainment attractions and venues across the waterfront industry. Our client's software powers dock operations, reservations, billing, and guest experiences for marinas nationwide. Our client is building a modern revenue engine to match their ambitions — and this role is at the center of that transformation. The GTM Engineer is a hybrid builder–operator who designs and maintains the technical infrastructure that powers our client's software's revenue engine. Rather than manually running sales and marketing operations, you’ll build systems that automate, scale, and optimize them. You’ll sit at the intersection of engineering, data, and go-to-market strategy — turning workflows that take hours into systems that run in seconds. In short: you don’t just run the playbook — you build the machine that runs it. Working cross-functionally with Sales, Marketing, Product, and Professional Services. You’ll be embedded within the revenue team but operate with significant autonomy — think of yourself as the engineering arm of the go-to-market organization. Collaborates With Sales (SDRs, AEs), Marketing, Product, Data, Professional Services, Product Manager, Sales, Marketing Lead. The successful candidate will be based anywhere in Canada, working in a remote work model! What your day will look like: Sales Automation and Productivity - Build and maintain tools that dramatically increase SDR and AE productivity across the full sales cycle - Design automated lead enrichment pipelines that append firmographic, technographic, and intent data to inbound and outbound leads in real time - Build prospecting automation workflows that surface high-fit accounts based on ICP criteria and buying signals - Architect CRM workflow automations in HubSpot to enforce pipeline hygiene, automate stage progression, and trigger internal notifications - Develop AI-driven outbound messaging sequences that personalize at scale using prospect-specific context - Create meeting booking automation to reduce scheduling friction and increase connect rates Growth, Infrastructure and Pipeline Generation - Create the systems that generate and nurture a pipeline without constant manual intervention - Build automated outbound campaign engines that execute multi-channel sequences (email, LinkedIn, phone) on a defined cadence - Develop AI-generated personalized outreach at scale, adapting messaging to prospective industry, role, and stage - Implement data scraping and lead sourcing workflows to build targeted prospect lists from public data sources - Create trigger-based prospecting systems (e.g., a marina raises funding or announces expansion → AI detects → personalized outreach generated → SDR notified) - Support product-led growth workflows that convert trial users into qualified pipeline AI-Powered GTM Leverage - AI across the revenue stack to give our client's software an outsized competitive advantage in speed and personalization - Build and manage AI SDR assistants that handle initial prospect engagement, qualification, and handoff - Develop AI-generated demo environments and personalized demo prep packets - Create AI proposal and SOW generation tools that reduce deal cycle time - Implement AI call summary and coaching workflows that feed insights back into the sales process - Build AI-based prospective research tools that deliver actionable account briefs before every call Data and Revenue Analytics - Build the dashboards and models that give leadership real-time visibility into revenue performance - Design pipeline analytics dashboards that track stage velocity, conversion rates, and bottlenecks - Build and refine lead scoring models that prioritize the highest-value opportunities for sales - Implement end-to-end conversion tracking across marketing and sales touchpoints - Create experimentation analysis frameworks to measure the impact of GTM tests - Develop attribution systems that connect marketing spending to closed revenue Experimentation and Rapid Growth Testing - Run a high-velocity experimentation program that continuously improves GTM performance - Target: 10–20 experiments per month - Test different ICP segments to identify under-penetrated verticals within the marina and entertainment industry - A/B test outreach messaging across channels, personas, and value propositions - Run pricing and packaging experiments in collaboration with product and finance - Optimize the demo → POC → close conversion funnel with structured tests and measurement - Document findings in a shared experiment log to build institutional knowledge Tech Stack and Tools: You’ll be expected to work fluently across the following (or equivalent) tools: - Category Tools CRM and Sales Engagement HubSpot (primary), Salesforce familiarity a plus - Enrichment and Prospecting ZoomInfo - AI and LLMs OpenAI APIs, Claude, custom AI workflows - Data and Analytics SQL, Looker / Metabase / HubSpot reporting, Google Sheets - Outreach and Sequencing HubSpot Sequences, Outreach, or equivalent - Dev and Scripting Python, JavaScript/Node.js, REST APIs

Your Role The Generative AI Developer will design, build, and deploy next-generation Agentic and Generative AI solutions on Google Cloud Platform, leveraging Vertex AI, Gemini models, A2A patterns, and cloud-native GenAI capabilities. The role involves translating business requirements into scalable, production-ready AI applications using Google’s latest GenAI ecosystem · Design & Implement Generative + Agentic AI Solutions Architect and implement solutions using Google’s agentic patterns, including A2A (Agent-to-Agent coordination), tool-augmented agents, and workflow orchestration. · Hands-On with Vertex AI & Gemini Models Build applications using Vertex AI, Gemini, Vertex AI Studio, Codey, and relevant APIs to deliver high-performing GenAI capabilities. · Develop AI Workflows & Applications Create Python-based applications and workflows that integrate Generative AI models into enterprise systems and Implement GenAI Design Patterns & Best Practices Apply GenAI architectural patterns such as retrieval-augmented generation, grounding, safety layers, structured prompting, tool use, and agent orchestration following Google-recommended best practices. Your Profile Required Skills & Experience · Strong proficiency in Python for AI/ML development. · Hands-on experience with Vertex AI, Gemini models, and Google’s Generative AI tooling. · Expertise in deep learning frameworks (TensorFlow/PyTorch/JAX). · Experience building and scaling cloud-native ML pipelines and APIs on GCP. What you will love about working here · We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. · At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. · Equip yourself with valuable certifications in the latest technologies such as Generative AI.

LanguageWire is a global leader in language and content services, dedicated to helping brands achieve their full global potential. Since 2000, we’ve evolved and built unique technology that enables seamless multilingual communication. Our worldwide network of language experts, together with our intuitive online platform, empowers brands to translate and manage multilingual content effortlessly. The role you’ll play As a Full Stack Engineer in the Core Platform Team, you’ll be at the forefront of how LanguageWire puts AI to work across the business. You won’t be training models or doing data science, you’ll be building the tools, services, and workflows that let AI agents actually do things: query internal systems, interact with third-party APIs, automate cross-department workflows, and solve real business problems end-to-end. You’ll own the design and delivery of backend-heavy services that expose well-defined, reliable tool interfaces consumed by AI agents. You’ll collaborate with product managers, domain experts from across the company, and fellow engineers to identify pain points and turn them into agentic solutions. The team you’ll be a part of You'll join the Core Platform Team, one of the foundational engineering teams at LanguageWire. The team owns and operates 12 microservices that underpin the entire organisation, covering file storage, authentication, notifications, email delivery, and integrations with our ERP and CRM systems, among others. These are the services every other team depends on. As LanguageWire invests in AI, the Core Platform Team is taking on a new function: building the tools and integrations that allow AI agents to interact with our services and automate workflows across departments. You'll be at the forefront of that expansion, turning the platform's capabilities into reliable, well-defined interfaces that AI agents can act on. We value outcomes over output, shared ownership over silos, and continuous delivery over long release cycles. Our stack is built on .NET microservices, Azure, and modern API patterns.  If you want to make a difference, make it with us by… - Design and build AI agent tools: Create backend services and APIs that AI agents can invoke to query data, trigger workflows, and interact with internal and external systems. - Integrate with existing services and APIs: Connect agent tooling to LanguageWire’s internal platform APIs, third-party services, and databases. - Define tool schemas and contracts: Design clear, well-documented tool interfaces (function schemas, OpenAPI specs, MCP server definitions) that LLMs and orchestration layers can reliably consume. - Build agentic features and workflows: Implement end-to-end automated workflows where AI agents solve specific business cases across departments,  from operations and finance to sales and project management. - Own your services end-to-end: From architecture and coding to deployment, monitoring, and maintenance (“You build it, you run it”). - Contribute to backend services and data layers: Extend existing .NET microservices and databases to expose the capabilities needed by AI tools. - Set up and improve CI/CD pipelines to ship reliably and frequently. - Apply DevOps and Operational Excellence best practices to ensure agent tools are observable, resilient, and secure. - Share knowledge with the team and help define how we build AI-powered products. In one year, you’ll know you were successful if… - AI agents are actively solving real problems across multiple departments using tools you built. - Internal teams are saving meaningful time through automated workflows you’ve designed and shipped. - Your tool APIs are robust, well-documented, and trusted by both engineers and the AI orchestration layer. - You’re recognized as a go-to person for backend architecture and AI tool integration within the team. Desired experience and competencies What does it take to work for LanguageWire? What you’ll need to bring Core engineering skills - Strong backend experience: C#, .NET Core / .NET 6+, ASP.NET Web API, microservices - Solid experience with relational databases (MSSQL and/or PostgreSQL),  query design, schema design, performance - Proven ability to design and build REST APIs and integrate with third-party services and webhooks - Familiarity with async programming, event-driven architecture, and message queues (e.g., Azure Service Bus, RabbitMQ) - Some frontend exposure (Vue.js and/or TypeScript),  enough to contribute when needed, but the focus here is backend  AI tool & integration skills - Practical understanding of LLM APIs (Anthropic, OpenAI, Azure OpenAI), calling them, managing context, handling responses - Familiarity with designing or consuming tool/function calling schemas, defining what an agent can invoke and how - Familiarity with MCP (Model Context Protocol) or similar agent-tool integration patterns (or eagerness to learn) - Understanding of security and authentication for exposed tool APIs (OAuth 2.0, API keys, rate limiting, input validation) - Observability mindset: logging, tracing, and monitoring tool invocations and agent interactions Mindset - A product mindset: you care about solving real business problems, not just completing tickets - Comfortable working with domain experts (non-technical stakeholders) to identify automation opportunities and translate them into technical solutions - Strong communication skills,  English fluency required - Agile, collaborative, and opinionated in a constructive way This will make you stand out - Hands-on DevOps experience: CI/CD pipelines, Docker, Kubernetes, cloud (Azure preferred) - Experience designing agentic workflows: chaining tool calls, handling state, and structuring multi-step automated processes - Familiarity with agent orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or similar) - Experience with event-driven or workflow automation platforms (e.g., Azure Logic Apps, n8n, Temporal) - Knowledge of prompt chaining patterns and how to structure reliable, deterministic tool-calling behaviour in LLM pipelines Our perks - Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas - Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture - International company with over 300 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg,, Sophia Antipolis, Atlanta, Finland and Valencia - For this role, we have a full-time FlexiWire@home option for remote work. Of course, you are always welcome at the office to collaborate and connect with your colleagues. - We take care of our people and initiate many social get-togethers from Friday Bars a to Summer or Christmas parties. We have fun! - Excellent location in cool and modern offices in the city center, with a great rooftop terrace and a view over the Town Hall Square - Private health insurance - Working in an international environment—more than 20 different nationalities - A dog friendly atmosphere - Big kitchen with access to organic fruits, nuts and biscuits and coffee. - Social area and game room (foosball table, darts, and board games) - Bike and car parking   About LanguageWire At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe. Our values drive our behavior We are curious. We are trustworthy. We are caring. We are ambitious. At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.   Working at LanguageWire — why we like it:  “As a Senior Full Stack Engineer at LanguageWire, my day is dynamic and collaborative, particularly within the Machine Learning team. I work closely with Machine Learning Engineers to integrate advanced AI capabilities into our web applications and APIs, aiming to enhance customer experiences through innovative features. I also collaborate with other development teams to ensure seamless integration and alignment of our technology solutions, fostering continuous learning and driving the evolution of LanguageWire's technology.” (Cristian, Senior Full-Stack Engineer, Poland) “What I enjoy the most about being a QA Engineer at LanguageWire is testing the products we provide to our customers. It feels rewarding to assure the quality and reliability of our designs. I also enjoy the teamwork involved in my job since I collaborate with many people, ranging from developers to product managers and linguists. In this way, I play a role in ensuring our projects' success, which is incredibly gratifying. I love knowing my work influences the outcome of our production of high-quality products for our customers. I also have the opportunity to work with the latest technologies adds an exciting challenge to my role.” (Ricardo, QA Engineer, Portugal) Yes, to diversity, equity & inclusion In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work. LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills. Want to know more? We can’t wait to meet you! So, why wait 'til tomorrow? Apply today! If you want to know more about LanguageWire, we encourage you to visit our website!

Role Description We are looking for an Associate Director to join Vista's Value Creation Team (VCT) in the Product and Technology (P&T) Practice. This role sits at the strategic intersection of architecture, investment diligence, and value creation requiring the rare combination of deep technical credibility, business acumen, and the ability to influence C-level technology leaders across a portfolio. - Evaluate software architectures through an investment lens, helping identify technical risks that could derail our thesis and building pragmatic roadmaps that unlock value. - Partner with Vista's investment teams, portfolio company executives, and VCT colleagues across practices to evaluate software architectures, design scalable solutions, and build actionable roadmaps that improve reliability, scalability, cost efficiency, and drive cloud architecture transformation. - Contribute to various value creation initiatives such as: - Cloud FinOps by helping engineering leaders implement cloud cost governance frameworks and optimize architecture for performance and spend efficiency. - Organizational transformation by helping product and engineering leaders implement AI-first organization for fast, efficient, and high-quality product delivery. - Engineering Ops and AI impact assessment by partnering with third-party vendors and engaging with architecture and engineering leaders to implement balanced metrics scorecard that drives transparency with executives and board alike. - This is a hands-on, high-impact, cross-functional role that requires the credibility to engage with CPOs, CTOs, architects, and product engineering leaders. - Lead portfolio companies through technology and cloud architecture assessment and create roadmaps for technical debt remediation, resiliency improvements, and Agentic AI innovations. - This role will give exposure to investment decision making, value creation, and transformation. - The role is based in Austin, TX, or remote (US-based) locations and is available for an immediate start. - We support flexible ways of working with expectation of regular in-person collaboration for critical engagements. - Travel required for portfolio company visits, diligence site visits, and Vista team meetings. Qualifications - Passion and curiosity for technology, software and data, as well as what makes successful technology companies and investors. - 7+ years of experience in Enterprise or Cloud Architecture, engineering leadership, or technology transformation roles. - Broad exposure across multiple technology stacks, cloud platforms (AWS, Azure, GCP, etc.), and architectural patterns. - Experience leading or significantly contributing to an architecture guild, modernization program, or large-scale platform redesign. - Strong understanding of cloud economics and FinOps practices. - Ability to evaluate architecture maturity, scalability, and risk during technical diligence or due diligence processes. - Exceptional communication skills, with the ability to convey complex architectural concepts clearly to both technical and non-technical audiences. - Proven ability to collaborate effectively with CTOs, engineering leaders, and investors. - Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred. - Experience managing vendor relationships and evaluating emerging technology solutions. - Strong communication and project management skills. - Excellent analytical and problem-solving skills. - Ability to drive cross-functional analysis, integrating perspectives on technology, business and finance. - Ability to bring structure to large, complex questions with limited guidance. - Ability to multi-task, operate independently, and deliver on tight deadlines. - Willingness to travel up to 25% of time. Requirements - The annualized base pay range for this role is expected to be between $160,000-215,000. - Actual base pay could vary based on factors including but not limited to experience, subject matter expertise and the applicant's skill set. - The base pay is just one component of the total compensation package for employees. - Other rewards may include an annual cash bonus and a comprehensive benefits package. Company Description Vista is a leading global investment firm that invests exclusively in enterprise software, data and technology-enabled organizations across private equity, credit, public equity and permanent capital strategies. The firm brings an approach that prioritizes creating enduring market value for the benefit of its global ecosystem of investors, companies, customers and employees. - The focus of Vista’s Value Creation Team is to accelerate the corporate maturity of its companies. - Building software businesses that excel in product superiority and operational efficiency. - Their collective counsel and resources allow companies to unlock opportunity, scale their business and grow sustainably to deliver value to all stakeholders.