Instructure

Product Manager

• Prioritize work based on alignment to business priorities, cost, and expected return on investment; clearly articulate tradeoffs behind every call
• Build and measure iteratively, shipping in increments and using success metric results to determine what's next – pivot or stay the course
• Communicate clearly and often about what we’re building, why it's the most important thing to do, and how we will know if it worked
• Use data to make decisions – from customer adoption analytics to competitor and market intelligence – know how to cut through the noise to find signal
• Collaborate relentlessly with other product managers, design, engineering and go-to-market teams to release new value with speed.
• Leverage AI-powered workflows to drive efficiency, reducing time-to-validation while delivering innovative solutions.

Product Manager, Canvas

Product Operations

• Design and deploy scalable product ops processes — including AI-enabled workflows, automation pipelines, and PDLC governance models — that reduce manual overhead and speed up product team output.
• Facilitate governance and support design and deployment of AI agents, skills files, and automation tooling to cut manual work and accelerate product team output.
• Facilitate working sessions and workshops with product and design stakeholders using design thinking methods to surface priorities, align stakeholders, and define operating models.
• Support board reporting materials development.
• Measure adoption and continuously improve the tools, templates, and systems the product team relies on.
• Support contract/spend auditing and annual planning for the product team’s vendor contracts and spend — identify consolidation opportunities, surface potential cost savings, and help PMs find cost offsets they can act on through changes to tools or approach.
• Build business cases for new product investments — size the market opportunity (TAM, SAM, SOM), frame the strategic rationale, and give leadership the data they need to make confident resource decisions.
• Run the product team’s operating cadence — facilitate the standups, reviews, and cross-functional syncs that keep the team accountable to deadlines and moving fast.

Senior Product Ops & Strategy Specialist

Sales

• Own end-to-end GTM strategy and sales execution across the full Americas region, including North America and Latin America.
• Lead, develop, and hold accountable a distributed team of sales leaders and individual contributors.
• Drive regional revenue performance, including pipeline health, forecast accuracy, and deal execution.
• Build a unified regional approach that leverages shared market dynamics, customer goals, and institutional challenges across the Americas.
• Partner cross-functionally with Marketing, Customer Success, and Product to align strategy and customer experience.
• Serve as a senior executive presence with key accounts, prospects, and strategic partners across the region.
• Shape and evolve the go-to-market structure as Instructure scales, with a focus on efficiency and sustainable growth.
• Represent the Americas in executive-level planning, forecasting, and operational reviews.

Head of Americas, Sales

Revenue Operations

• Own the end-to-end design, implementation, and refinement of enablement programs that align with business goals and drive team effectiveness.
• Establish and maintain scalable enablement processes, ensuring consistency and efficiency across teams.
• Lead a team of US-based enablement professionals that support go-to-market and product enablement for NORAM K12, Higher Ed, and Business & Government sectors.
• Drive the adoption of our customer journey methodology, WinningByDesign by reinforcing key concepts in product and professional development enablement programs. Partner directly with sales and CX leaders to ensure the methodology is foundational to coaching practice and top of mind for leader and peer-led professional development activities.
• Support the implementation and adoption of existing productivity tools (e.g. SalesForce.com, Clari, GainSight) and new go-to-market tools when applicable.
• Collaborate with global teammates (enablement, revenue operations, sales/success leadership, product marketing, product specialists, and marketing) on project priority, delivery method, and the scheduling of enablement initiatives.
• Support and participate in the maintenance, curation, and update of playbooks, enablement program content, courses, and pathways.
• Partner with the Sr. Director of Revenue Enablement to align enablement strategy with Instructure OKRs and consistency across our global enablement activities
• Utilize data-driven insights and analytics to assess program effectiveness and drive strategic programs.
• Contribute to the planning and execution of sales kickoff events to align teams on goals, strategies, and product updates.
• Stay current on industry best practices, trends, and emerging technologies to continuously optimize enablement strategies.

Director, Revenue Enablement

Director

• Strategic Liquidity & Cash Management: Treasury Infrastructure, Cash Flow Forecasting, Banking Structure & Optimization, Operational Alignment.
• Debt, Capital Markets & Risk Management: Credit & Debt Oversight, Relationship Management, Financial Forecasting, Hedging & FX Strategy.
• Global Operations & Governance: Intercompany Transactions, Compliance & Controls, System Administration.

Director of Treasury

• Own the product retention and growth strategy for our Assessments domain, from opportunity identification, to iterative delivery, go-to-market execution, to value adoption
• Develop product strategy for new capabilities, new customer segments, and entry into adjacent markets
• Lead a team of Product Managers that operates AI-first, coaching PMs to compress time-to-validation, sharpen decisions, and drive delivery velocity
• Partner directly with customers around the world – institutions of every size, K-12 and higher ed, alike, to represent their voice in every decision
• Shape product direction and investment priorities through competitive analysis and market intelligence, holding accountability for growth, retention, and adoption metrics
• Contribute to annual planning, aligning domain growth investments with organizational priorities and resource constraints; maintain regular progress and achievement reporting against plan
• Collaborate with marketing, sales, customer success, analytics, and the broader R&D organization to align on priorities, successful GTM strategies, and ensure product investments are tied to business goals and results
• Communicate growth strategy to executive stakeholders, building conviction for investment and alignment across teams

Director, Product Management

Business Operations

• Collaborate to gather, organize, and analyze operational data to inform business decisions
• Maintain reports, dashboards, trackers, and recurring business metrics
• Document existing processes, workflows, and team procedures in a clear and organized format
• Support process improvement by identifying inefficiencies and recommending practical solutions
• Coordinate with cross-functional partners to collect updates, track action items, and ensure follow-through on operational initiatives
• Prepare summaries, presentations, and internal documentation for meetings, planning sessions, and project updates
• Conduct research to support operational planning, benchmarking, and business reviews
• Assist with project management, including timeline tracking, meeting notes, and progress reporting
• Ensure data accuracy and consistency across operational tools and documentation
• Participate in special projects and support ad hoc business operations needs as assigned

Business Operations Summer Intern

Learning and Development

• Collaborate with key stakeholders to create and execute effective and detailed communication, training, and engagement plans.
• Act as an agent of change within the organization to support the implementation of the organization's vision and goals for Instructure products.
• Use data effectively and follow an inquiry process to share your analysis of challenges, apply targeted strategies, and elevate the teaching and learning within Instructure products.
• Mentor and motivate organization leaders, faculty, designers, and staff on all things Instructure, specifically Canvas, Mastery Connect & Impact, and inspire educators to achieve unparalleled awesomeness with these products.
• Listen to the needs of the organization and help to meet those needs with Instructure products, including building adoption resources, model courses, and other key deliverables.
• Plan, schedule, and conduct product training and consulting sessions using appropriate tools and organizational skills.
• Help leaders make connections between product usage and instructional best practices for learners.
• Follow-up after consulting sessions to monitor progress and promote success.
• Collaborate with team members, Instructure employees, and customers to enhance our product(s) use across the organization.
• Prepare, curate, and deliver amazing help documents, incredible course materials, and superstar presentations specific to the organization.
• Demonstrate a willingness to tackle any task that supports the customer’s rollout of the Instructure Learning Platform while also following internal procedures, Instructure security and privacy protocols, and institution policies.
• Travel to support the rollout of Instructure products as needed and appropriate.
• Identify areas where additional support, training, or consulting are needed.

Learning Consultant

Data Scientist

• Architect, build, and operate scalable inference services, APIs, and backend components for model-driven and LLM-powered product features
• Productionize AI and ML workflows with strong MLOps practices: model versioning, testing, deployment pipelines, monitoring, rollback, and operational reliability
• Define and implement evaluation frameworks for model quality, system reliability, latency, and cost, and make these a standard part of how models ship
• Build reusable platform patterns, service templates, and reference implementations that multiple teams and products can adopt
• Set and uphold engineering standards across the AI team: code quality, documentation, observability, and incident readiness, and mentor team members in production ML practices
• Partner with our infrastructure owner on the underlying cloud, cluster, and CI substrate, and with product, engineering, and research partners to move AI capabilities into production

Senior Data Scientist, AI Platform

• Design, build, and ship production retrieval systems that power AI product capabilities across multiple products
• Own vector store selection and operation, including scalability, latency, reliability, cost, and multi-tenant design
• Build and operate indexing and refresh pipelines: chunking, embedding generation, backfills, deletes, and versioned indices
• Implement semantic and hybrid retrieval: embeddings, similarity search, lexical and vector combination, metadata filtering, and reranking
• Own retrieval evaluation as a first-class system: gold sets, offline relevance metrics, slice analysis, drift detection, and regression gates that block bad changes from shipping
• Make and defend the core tradeoffs of the domain: relevance against latency against cost against operational complexity
• Partner with AI Platform and infrastructure engineers on deployment, observability, and reliability, and with product and research partners on relevance requirements

Senior Applied Data Scientist, Retrieval and Semantic Systems

• Form a clear point of view on what your product area needs to achieve this quarter and this year. Build a well-reasoned case for why and how to get there.
• Carry accountability for product outcomes, from what you’re building and why it’s the right investment to what you’ve shipped and how it’s performing.
• Build and measure iteratively. Ship in increments and use success metrics to decide what’s next.
• Use customer insights and market intelligence to form a point of view on where the credentialing market is headed, then pressure-test your roadmap against it.
• Collaborate relentlessly with other product managers, design, engineering, and go-to-market teams to ship new value quickly.
• Operate independently. Run your product area without regular guidance from leadership, and resolve blockers before they become escalations.
• Use AI-powered workflows to speed up validation and discovery.
• Raise the bar around you. Model strong product thinking, coach newer PMs, and give honest feedback to cross-functional partners when the work isn’t at the right level.

Senior Product Manager – Digitary

HUF 1,500,000 - HUF 1,900,000 per month

Sales Development Rep

• The Sales Development Representative has the responsibility for introducing the Instructure Learning Platform to new clients. This is done through outbound contacting, trade shows, email campaigns and response to inbound leads.
• The SDR will be responsible to own and manage the prospecting for a designated territory and is responsible to create quarterly plans to achieve quotas.
• Additionally, SDRs provide regular, accurate forecasts and update lead status using Salesforce.

Sales Development Representative

Full-stack Engineer

• Contribute to the full stack development of a new aggregated assessment product
• Work collaboratively with a distributed, remote team using Agile methodologies (mix of Scrum and Kanban)
• Participate in daily standup meetings and communicate primarily through Slack
• Utilize Jira for project tracking and workflow management
• Ramp up quickly on the existing tech stack and solutions, understanding the history and functionality of legacy products
• Ensure no loss of critical features that customers rely on and love

Software Engineer

Customer Success Manager

• Partner Relationship Management: Build and maintain trusted relationships with partner stakeholders. Learn their organizational priorities, communication styles, and objectives to ensure every interaction progresses the partnership.
• Strategic Discovery & Planning: Conduct structured discovery to understand each partner’s goals, challenges, and desired outcomes. Develop and execute actionable success plans aligned with both partner and Instructure objectives.
• Pipeline Growth & Expansion: Proactively identify growth opportunities. Collaborate with Sales to support pipeline generation and advance non-renewal booking opportunities.
• Renewal & Risk Management: Own the renewal forecast for your book of business. Track account health, flag risks early, build mitigation plans, and keep forecasts up to date based on data, usage, and partner sentiment.
• Product Adoption & Optimization: Work with internal teams to ensure best practices and sustained engagement with Instructure solutions.
• Cross-Functional Collaboration: Collaborate across Sales, Product, Support, and Marketing to deliver a seamless partner experience. Communicate partner context and needs clearly to key stakeholders.
• Reporting & Governance: Maintain accurate documentation, meeting notes, and system updates. Keep forecasts, partner records, and governance processes current.

Partner Success Manager

Support Engineer

• Work tickets via web-based ticketing system, phone, or live chat from admins, faculty, staff, and student end-users (some tickets will be initial contacts and others will be escalated from admins)
• Validate and clarify the issue reported
• Answer how-to questions
• Fix end-user issues that are resolvable through the Canvas user interface
• Replicate, troubleshoot, and describe simple bugs
• Keep thorough, clear, and complete records in the ticketing system of all actions taken
• Escalate tickets not resolvable at the L1 level to the L2 Support team
• Be friendly, efficient, and dependable, and always provide timely updates to users
• When assigned, create documentation of Support processes
• Perform other duties as assigned by supervisor