Engineering software solutions for complex challenges
Go-To-Market Engineer
Full-TimePosted on 7/21/2026
No salary listed
Senior
Montreal, QC, Canada
HybridTwo office days are not stated; the role is described as hybrid at the downtown Montreal office.
Sales & Account ManagementSales Operations
About the job
Requirements
At least 5 years of experience in Revenue Operations, Sales Development Representative, Sales Operations, or a similar role.
Proven experience designing workflows to optimize customer relationship management and revenue systems such as Salesforce or HubSpot in a business-to-business environment.
Experience working with Claude, ChatGPT, vibe coding, Clay, and Outreach.
Familiarity with data enrichment and sales engagement tools such as Apollo.io and ZoomInfo.
Excellent communication skills in English and French.
Experience managing or influencing a revenue technology stack, including customer relationship management, marketing automation, and related tools.
Strong understanding of sales processes, pipeline management, and forecasting.
Demonstrated ability to translate business needs into scalable systems and process improvements.
Experience building reports, dashboards, and data models to support decision-making.
Strong analytical and problem-solving skills with a data-driven mindset.
Excellent stakeholder management and communication skills.
Ability to operate strategically and hands-on in a fast-paced environment.
Responsibilities
Own the sales revenue systems ecosystem and ensure alignment with business needs and growth objectives.
Define and manage a technology roadmap across customer relationship management and adjacent tools, including marketing automation, sales engagement, and collaboration platforms.
Evaluate and recommend new tools and capabilities to enhance the revenue technology stack.
Own the day-to-day health, architecture, and continuous improvement of Salesforce, including object design, fields, workflows, automations, integrations, data quality, permissions, and handoffs between Marketing, Sales, Customer Success, and Finance.
Partner with Sales, Pre-Sales, Sales Operations, Marketing, and Services leadership to define and optimize go-to-market processes.
Map and continuously improve the end-to-end revenue lifecycle from lead to opportunity to delivery and beyond.
Design artificial-intelligence-enabled workflows to reduce manual work and improve go-to-market execution, including account research, lead enrichment, territory and account matching, inbound routing, outbound personalization, follow-up automation, and sales-assist workflows.
Build custom integrations between systems by developing application programming interface connections that link sales, marketing, and data platforms.
Act as a strategic advisor by challenging and refining stakeholder requests to ensure scalable, high-impact solutions.
Evaluate, implement, and optimize go-to-market tools that improve speed, data accuracy, representative productivity, and revenue visibility.
Define, develop, and maintain key performance metrics and key performance indicators.
Build and maintain dashboards and reports to track pipeline health, conversion rates, and overall performance.
Analyze data to identify trends, risks, and opportunities, and provide actionable insights to leadership.
Support onboarding of new team members through training on systems, tools, and processes.
Ensure teams effectively leverage revenue systems and tools.
Continuously improve user experience, adoption, and overall system effectiveness.
Desired Qualifications
Experience in a software-as-a-service, software, or engineering services environment.
Familiarity with system integrations, automation, and data architecture.
Maya HTT is a world leading software developer and engineering solutions provider focused on CAE, CAD, CAM and PLM. A long-time partner of Siemens Digital Industries Software, Maya HTT collaborates in providing software, AI, and engineering services to help clients and partners worldwide boost performance, improve quality, drive down costs, and harness the value of their data.
We’re on a journey of growth and transformation - expanding our portfolio of services, products, and partnerships to deliver unified, market-driven solutions that make a measurable impact.
Role Summary:
The Go-To-Market (GTM) Engineer is responsible for optimizing the company’s end-to-end revenue engine across systems, data, and processes. This role partners closely with Sales, Operations, Marketing, Pre-Sales, and Services leadership to design scalable processes, improve forecasting accuracy, and deliver actionable insights that drive business performance. The successful candidate will take a proactive, ownership-driven approach—identifying opportunities, challenging assumptions, and continuously improving how the organization operates.
The role also oversees the evolution of the company’s revenue technology ecosystem (including CRM and adjacent platforms), ensuring systems are connected, efficient, and enable data-driven decision-making.
This is a senior individual contributor role with broad cross-functional impact. The ideal candidate is a builder-operator: technically curious, commercially sharp, automation-oriented and comfortable using AI to deliver practical solutions quickly.
Key Responsibilities:
Sales Revenue Systems & Technology Strategy
Own the sales revenue systems ecosystem, ensuring alignment with business needs and growth objectives
Define and manage a technology roadmap across CRM and adjacent tools (e.g., marketing automation, sales engagement, collaboration platforms)
Evaluate and recommend new tools and capabilities to enhance the revenue tech stack
Own the day-to-day health, architecture, and continuous improvement of Salesforce. This includes object design, fields, workflows, automations, integrations, data quality, permissions and the handoffs between Marketing, Sales, Customer Success and Finance
Revenue Operations & Process Optimization
Partner with Sales, Pre-Sales, Sales Operations, Marketing, and Services leadership to define and optimize go-to-market processes
Map and continuously improve the end-to-end revenue lifecycle (lead to opportunity to delivery and beyond)
Design AI-enabled workflows that reduce manual work and improve GTM execution. This may include account research, lead enrichment, territory/account matching, inbound routing, outbound personalization, follow-up automation, and sales-assist workflows
Build custom integrations between systems: Develop API connections that link sales, marketing, and data platforms to eliminate silos
Act as a strategic advisor - challenging and refining stakeholder requests to ensure scalable, high-impact solutions
Forecasting, Performance Management & Analytics
Evaluate, implement, and optimize GTM tools that improve speed, data accuracy, rep productivity, and revenue visibility
Define, develop, and maintain key performance metrics and KPIs
Build and maintain dashboards and reports to track pipeline health, conversion rates, and overall performance
Analyze data to identify trends, risks, and opportunities, and provide actionable insights to leadership
Enablement & Adoption
Support onboarding of new team members through training on systems, tools, and processes
Ensure teams are effectively leveraging revenue systems and tools
Continuously improve user experience, adoption, and overall system effectiveness
Qualifications:
5+ years of experience in Revenue Operations, Sales Development Representative (SDR), Sales Operations, or a similar role
Proven experience in workflow design to optimize CRM and revenue systems (e.g., Salesforce, Hubspot or similar) in a B2B environment
Experience working with Claude/ChatGPT/vibe coding/Clay/Outreach
Familiarity with data enrichment and sales engagement tools (e.g., Apollo.io, ZoomInfo)
Excellent communication skills in English and French (The position requires regular interaction with colleagues, suppliers and customers based outside of Quebec, nationally and internationally).
Experience managing or influencing a revenue technology stack (CRM, marketing automation, and related tools)
Strong understanding of sales processes, pipeline management, and forecasting
Demonstrated ability to translate business needs into scalable systems and process improvements
Experience building reports, dashboards, and data models to support decision-making
Strong analytical and problem-solving skills with a data-driven mindset
Excellent stakeholder management and communication skills
Ability to operate both strategically and hands-on in a fast-paced environment
Assets:
Experience in a SaaS, software, or engineering services environment
Familiarity with system integrations, automation, and data architecture
Why join Maya HTT?
Flex Working Hours and Hybrid Work. Office downtown Montreal, 2-minute walk from Atwater Metro.
Permanent Position and Competitive Base Salary.
100% Employer-Paid Benefits starting from Day One: Medical, Dental, Vision, Life, Short/Long Term disability insurances.
Retirement Savings: Group RRSP / DPSP Plan with Employer Contributions open to join from Day One
Career Growth Opportunities: Our flexible career paths allow you to grow, and we like to promote internally.
Learning Opportunities: Learn from the best in the industry and develop your skills.
Generous Time-Off Policy: We promote a Healthy Work-Life Balance with a Flexible PTO Policy, Sick/Personal Days, and a Summer Flex Schedule.
Structured Onboarding Program: We’re invested in your success; you’ll have team members to support you and provide a wide range of assistance from Day One.
Join an award-winning company that is recognized worldwide as an industry leader.
Our Candidate Experience Flow: HR Screen - Virtual Interviews using Microsoft Teams - Job Offer
Maya HTT is an equal opportunity employer and committed to fostering diversity and inclusion in the workplace. Accommodations are available upon request for candidates taking part in all aspects of the hiring and selection process.
Maya HTT launches M-Bot, a secure enterprise engineering knowledge assistant.
Secure on-premises industrial AI chatbot gives technical teams traceable answers from proprietary information, without exposing sensitive data or incurring unpredictable token-based costs.
Maya HTT today launches M-Bot, a secure engineering knowledge assistant that connects to internal engineering, manufacturing and industrial operations knowledge and makes it possible to find complex technical information in seconds.
M-Bot's natural-language interface allows users to query proprietary technical knowledge that is fragmented across documents, systems and people, and to retrieve information up to 60x faster. With M-Bot, a five-minute manual search is reduced to roughly five seconds.
"Engineering organizations already possess enormous amounts of valuable technical knowledge, but we've found that it's challenging to get the right information to the right person in time to influence key decisions," said Remi Duquette, VP Industrial AI at Maya HTT. "We developed M-Bot so teams could access that knowledge in seconds and keep sensitive engineering data completely under their control."
Optimized for complex engineering and manufacturing content, M-Bot's retrieval-augmented generation architecture handles technical questions involving text, images, tables, graphs, and other sophisticated engineering artifacts that conventional LLMs cannot parse. Users can ask about historical qualification temperatures, previous technical issues, manufacturing processes or subsystem test results and receive detailed, accurate answers linked back to supporting source material.
M-Bot connects with Teamcenter and other PLM environments as well as enterprise repositories such as SharePoint and Confluence with full source traceability.
For industries, such as aerospace, defense, and manufacturing that handle sensitive intellectual property, M-Bot addresses data sovereignty requirements by operating on-premises or within customer-controlled infrastructure. Costs remain predictable because M-Bot does not have LLM token metering costs or fluctuating usage-based costs. M-Bot costs are known up front. M-Bot is now available for demonstration and enterprise deployment.
About Maya HTT.
Maya HTT is a global engineering software and technology company helping organizations solve complex engineering and product development challenges. Combining expertise in simulation, software development, artificial intelligence, and digital engineering, Maya HTT helps customers improve product performance and accelerate development across a wide range of industries.
Maya HTT welcomes Friendship Systems and CAESES to expand simulation-driven design and optimization software portfolio.
Jul 15, 2026, 09:00 ET
The combination brings CAESES' simulation-ready parametric geometry and optimization platform into Maya HTT's software portfolio, strengthening solutions for marine, turbomachinery, aerospace, automotive and advanced CFD-driven engineering teams.
MONTREAL and POTSDAM, Germany, July 15, 2026 /CNW/ - Maya HTT, a global provider of engineering software, simulation, AI, and digital transformation solutions, today announced the acquisition of Friendship Systems, the German engineering software company behind CAESES.
CAESES is a specialized platform used by engineering teams to create simulation-ready parametric geometry, automate design variants, and support optimization workflows. By enabling the systematic generation of design alternatives and associated simulation data, CAESES also supports data-driven engineering and physics AI enabled design workflows. The software is widely relevant to advanced engineering applications including marine, turbomachinery, aerospace, defense, computational fluid dynamics, and engineering consulting.
The acquisition strengthens Maya HTT's simulation-driven design portfolio and expands the company's ability to deliver proprietary, high-value engineering software and solutions to customers globally.
"Friendship Systems brings deep technical expertise, a strong product foundation, and a highly complementary platform to Maya HTT," said Vito Marone, Chief Executive Officer of Maya HTT. "CAESES enables engineers to explore more design options faster, connect geometry directly into simulation workflows, and turn domain expertise into repeatable digital engineering processes. It also creates a strong foundation for physics AI-enabled engineering by helping generate structured design and simulation data across large design spaces. This is exactly the type of specialized, simulation-driven technology that aligns with Maya HTT's long-term strategy."
Through the acquisition, Maya HTT will add CAESES to its growing portfolio of Maya HTT-owned software assets and expand its European footprint, with Germany becoming a stronger anchor for product-led growth. The transaction also creates opportunities to introduce CAESES into Maya HTT's global customer base and combine it with Maya HTT's expertise in thermal simulation, flow simulation, AI, engineering workflows, and advanced engineering services.
"This acquisition is an important step in Maya HTT's strategy," added Marone. "It gives us a broader proprietary software portfolio, deeper technical differentiation, and new opportunities to create integrated engineering workflows that help customers move faster from design exploration to validated performance."
Maya HTT's integration approach will focus on preserving the strengths of Friendship Systems and selectively pursuing commercial and technical synergies where they create clear customer value.
Terms of the transaction were not disclosed.
About Maya HTT
Maya HTT is an engineering software, simulation, AI, and digital transformation company headquartered in Montreal, Canada. The company helps leading organizations solve complex engineering and operational challenges through advanced simulation, software development, industrial AI, digital twins, and product lifecycle solutions.
About Friendship Systems
Friendship Systems is a German engineering software company and the developer of CAESES, a platform for simulation-driven and data-driven engineering. CAESES enables engineers to create simulation-ready parametric geometry, automate design exploration, optimize product performance, and generate engineering data for AI-enabled workflows. The platform is used by engineering teams working in advanced design environments including marine, turbomachinery, aerospace, energy, CFD, and engineering consulting.
SOURCE Maya HTT
Media contact: Myriam Roy, Maya HTT, [email protected]
Maya HTT has launched the TMG SDK, a thermal simulation software development kit that allows developers to embed high-fidelity thermal solving capabilities into their own engineering platforms. The SDK is built on Maya HTT's Thermal Model Generator technology, already used by 21 of the world's top 25 aerospace and defence organisations.
The SDK offers significant performance improvements, demonstrating over 400 times speedup in surface-to-surface radiation view factor calculations compared to conventional CPU-based approaches. One benchmark showed reduction from 127,233 seconds on an eight-core CPU to just 311 seconds on an NVIDIA GeForce RTX 2080 Ti GPU.
Founded in 1982, Maya HTT serves thousands of customers across aerospace, transportation, energy and industrial machinery sectors. The TMG SDK is currently available to select partners, with broader availability planned for 2026.
Maya HTT launches the TMG(TM) SDK, a High-Performance Thermal Simulation solution.
New Software Development Kit Brings High-Performance Thermal Simulation And GPU-Accelerated Speed To Integrated Engineering Workflows.
Montreal, Canada: Maya HTT today announced the launch of the TMG(TM) SDK, a new thermal simulation software development kit (SDK) that allows software developers and engineering technology providers to embed a proven, high-fidelity thermal solver directly into their own simulation environments. The TMG(TM) SDK helps teams achieve faster product development with access to mature thermal modeling capabilities and none of the time, cost, or risk of developing such a solver from scratch. For companies with existing solvers, this SDK from Maya HTT represents a premium alternative to expand fundamental accuracy out of the box. As the first industry-standard kit available for general use, TMG eliminates the extensive benchmarking and validation that were once a barrier to the adoption of new solutions.
The TMG(TM) SDK is built on Maya HTT's proprietary Thermal Model Generator (TMG(TM) technology, which is also embedded inside mission-critical simulation platforms and trusted by 21 of the world's top 25 aerospace and defense organizations, as well as thousands of leading companies across transportation, machinery, energy, and other industrial sectors. With this release, Maya HTT is making that same solver technology available to a broader ecosystem of partners through a flexible, white-label SDK.
Compared to traditional thermal solvers, TMG offers dedicated modeling features for the aerospace and gas turbine industries such as advanced boundary conditions to model thermal contacts in a satellite, complex radiation heat transfer in high temperature cavities of an engine, and a built-in 1D fluid network solver to model advection and convection heat transfer for air flow passages.
"The TMG(TM) SDK gives simulation and engineering software teams immediate access to a feature-rich, production-proven thermal solver," said Derek Peeling, Product Director at Maya HTT. "We've spent decades refining the accuracy, usability, performance, and reliability of our thermal modeling solution. With the TMG(TM) SDK, our partners can now focus on their core innovations while relying on a solver that's already trusted at the highest levels of industry."
Performance is a defining advantage of the TMG(TM) SDK. In surface-to-surface radiation view factor calculations - a traditionally compute-intensive thermal problem - TMG(TM) demonstrated over 400x speedup compared to conventional CPU-based approaches. One benchmark showed a reduction from 127,233 seconds on an 8-core CPU using a hemicube method to just 311 seconds on an NVIDIA GeForce RTX 2080 Ti GPU, a dramatic acceleration in simulation turnaround with no loss in accuracy.
"Speed means nothing unless you can trust the results," said Jacob Harris, VP Software Products at Maya HTT. "The TMG(TM) SDK delivers on both fronts. Our partners gain a solver that is blisteringly fast and thoroughly validated. It's already embedded in some of the most demanding engineering environments in the world."
Designed to be platform-agnostic and widely compatible with other CAE solvers, the new TMG(TM) SDK was developed for tight integration across multidisciplinary simulation solutions. It's now simple and seamless to connect thermal models with structural, electrical, fluid, and system-level analyses. The ease of integration helps engineering teams reduce their development cycles and bring products to market faster.
The TMG(TM) SDK is currently available to select partners, with broader availability planned in 2026.
About Maya HTT.
Maya HTT is a global engineering technology and services company that has been developing advanced digital simulation software solutions since 1982. The Maya HTT team brings deep expertise and decades of experience in thermal modeling and simulation to thousands of customers worldwide across aerospace, transportation, energy, industrial machinery, and other high-performance engineering industries.
As a world leader in computer-aided engineering (CAE) software, Maya HTT collaborates in providing software, AI, and engineering services to help clients and partners worldwide boost performance, improve quality, drive down costs, reduce inefficiencies, and harness the value of their data as they tackle the most complex engineering projects. A partnership with Maya HTT opens the door to best-fit solutions and unparalleled expertise.
Media contact.
Maya Heat Transfer Technologies Ltd
1-800-343-6292
[email protected] https://www.mayahtt.com
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With (most) F1 teams running in Barcelona last week for the first of two shakedowns, fans finally got a look the 2026 regulation cars. While...
When MAYA Heat Transfer Technologies Ltd. set out to achieve CMMC Level 2 certification, its main challenge was to achieve CMMC compliance without breaking the bank. MAYA Heat Transfer Technologies Ltd. required a...
Whether you're looking to move away from legacy tools and get started with PLM or switch to a new PLM platform, the options may seem...
A significant cause of mission risk - and often the hardest to fix late in the design cycle - is poor thermal design. In fact,...
Thermal simulation still often sits outside the core software in many of today's engineering environments. It's not unusual to access thermal solvers through external tools,...
To stay competitive, you know you need a PLM system. The benefits of PLM run the gamut from reduced time-to-market and automated processes to risk...