Appspace

Role Description We're looking for a Senior Partner Account Manager to own the GTM Strategy and Delivery with a strategic partner across North America. This is a hunter role that requires the successful candidate to possess strong business development skills and an aptitude for cultivating and growing relationships within a single account. The PAM will report to the Sr. Director of Partnerships as part of the Appspace Partner Organization. The PAM will work closely with and support the Appspace Go-to-Market (GTM) team, including strategic alignment with Appspace Sales and Customer Success Teams. The preferred candidate will demonstrate a documented track record of meeting and exceeding sales quotas. This position requires approximately 40% travel across multiple regions and time zones. A Day in the Life of a Partner Account Manager - Drive organization alignment with assigned partners, including executives, sales, marketing, technical teams, and business operations. - Develop and execute annual business plans that detail specific sales and tactical strategies to meet or exceed the assigned revenue target. - Educate partners on Appspace product/services portfolio, partner programs, and enablement tools. - Represent Appspace at industry and partner events. - Build partner account plans and drive regular internal and external account reviews to ensure success against predefined KPIs. - Provide clear weekly updates to Appspace GTM leadership on revenue forecasts, the sales pipeline, and closed sales. - Develop complete mastery of sales acumen, partner enablement, operations, and industry knowledge. - Determine creative ways to differentiate Appspace from the competition and ensure a dominant position in assigned partner accounts. Qualifications - A hunter mentality with strong business development experience. - Bachelor’s degree or equivalent experience in business or sales management is required. - 3+ years of documented partner management success in a similar role, including employee communications, workplace experience, facilities, or AV/IT industries. - Demonstrated track record of meeting or exceeding goals and objectives. - Ability to work in a fast-paced environment and manage multiple tasks efficiently. - Advanced indirect revenue and lead generation knowledge, including knowledge of all facets of the sales process and experience in forming successful relationships. - Advanced understanding of the basics of business development, with the ability to implement go-to-market strategies with 3rd parties. - Ability to proactively generate leads, work under a quota, and effectively maintain/expand business relationships through email, phone, and face-to-face contact. - Efficiently deliver the Appspace value proposition and provide a high-level product demo. - A team player who is capable of high performance and flexibility, working in a dynamic environment. - Excellent selling and interpersonal skills. - Excellent presentation, written, and verbal communication skills. - Must be well-organized and attentive to details. - Proficiency in the use of Microsoft Office Suite, Google Suite, and Salesforce. - Proficiency in the use of Salesforce or other similar CRM systems. - Experience with MEDDPICC or other pertinent sales processes. Benefits - Competitive salaries, medical, dental and vision coverage. - Disability coverage and employer paid life insurance. - Mental health resources and 401(k) plan. - Fully paid parental leave program. - Generous PTO. - Flexible work schedules and remote work opportunities. - Paid company holidays. - Appspace Quiet Fridays (No non-essential internal meetings scheduled). - A casual dress work environment. - A company provided laptop.

• Manage the Appspace Partner Desk, including new partner leads, onboarding, and day-to-day management of assigned Partners • Educate partners on Appspace product/services portfolio, partner programs, and enablement tools • Provide sales presentations to Partner AMs, SEs, Solution Architects, Product teams, and Marketing teams • Represent Appspace at industry and partner events • Provide clear weekly updates to Appspace GTM leadership on pipeline and revenue forecast • Work closely with Appspace Sellers and Customer Success Teams to support account growth and renewal retention • Develop complete mastery of sales acumen, partner enablement, operations, and industry knowledge • Determine creative ways to differentiate Appspace from the competition and ensure a dominant position in assigned partner accounts

• Own and Optimize Paid Media Programs • Optimize Website Performance • Collaborate Across the Marketing & Revenue Team

• Own and Optimize Paid Media Programs • Manage and allocate multi-channel paid media budgets across Google Ads (Search, Display, P-Max), LinkedIn Campaign Manager, 6sense, and Meta Ads—continuously rebalancing based on pipeline contribution and cost-per-opportunity. • Build and maintain always-on advertising programs alongside point-in-time campaign bursts, ensuring consistent pipeline coverage throughout the fiscal year. • Develop quarterly paid media plans grounded in buyer persona research, intent data, and competitive analysis; translate strategy into channel-specific execution plans with clear KPIs. • Define and own paid media KPIs: CTR, CPC, CPL, cost-per-MQL, cost-per-opportunity, ROAS, and pipeline-influenced revenue. Report weekly to senior leadership. • Run structured A/B tests on ad copy, creative, audience segments, bidding strategies, and landing pages; document results and scale winners systematically. • Design and test ad creative and copy by leveraging AI generation tools alongside content and design teams—using performance data to drive the next iteration of brand assets. • Leverage B2B intent data and account-intelligence platforms (e.g., 6sense, Demandbase, Bombora) to build targeted ABM ad campaigns aligned with Sales outbound targets. • Stay current with platform algorithm changes (Google’s AI-driven bidding, LinkedIn audience expansion, Meta Advantage+) and adapt strategies proactively. • Optimize Website Performance • Measure and monitor the Appspace website’s health, performance, and conversion rates; share regular dashboards with marketing leadership and stakeholders. • Optimize web content, layout, structure, and UX for both human conversions (CRO) and AI-engine discoverability (SEO/AEO), ensuring Appspace surfaces across both traditional search and AI-powered discovery. • Manage and coordinate with Appspace’s external SEO agency—set deliverables, hold the agency accountable to results, and integrate SEO insights into paid media and content strategies. • Implement and maintain website tracking through Google Tag Manager. • Collaborate Across the Marketing & Revenue Team • Feed paid media performance data, search intent trends, and AI-discovery insights back into the content engine—partnering with creative, copywriting, and content teams so messaging continually evolves based on real-time market signals. • Work hand-in-hand with Revenue Operations to manage multi-touch attribution models, ensuring all digital spend is mapped to pipeline velocity and closed-won revenue. • Support integrated campaigns by handling all paid advertising components: planning, audience building, ad construction, trafficking, and measurement. • Contribute to quarterly and annual marketing planning by providing paid media performance data and forward-looking budget recommendations.

• Provide first response and technical support for issue resolution via our ticketing system and remote sessions • Ask appropriate fact-finding questions to clearly identify and understand the client's issue while helping to isolate the potential root cause • Communicate proactively with customers to keep them informed throughout the resolution process • Build and maintain self-service resources — guides, FAQs, and troubleshooting materials — for frequently encountered customer questions • Partner with enterprise customers who have highly customised deployments to understand their unique environments and deliver tailored support • Escalate cases requiring advanced technical skill with clear and thorough handoff documentation • Advise customers on network-related requirements, including firewall ports and basic TCP/IP settings, when appropriate • Stay organised and document all customer interactions using our ticketing tools and other related tools • Strategically leverage and critically validate outputs from AI tools to draft communications, summarize complex issues, and accelerate documentation, ensuring accuracy and alignment with Appspace standards. • Regularly audit and test the AI Support Agent's performance, identifying gaps in its knowledge base and proactively refining content to enhance its resolution capabilities. • Monitor support interactions to identify patterns, gaps in available resources, and opportunities to improve the customer experience by creating a new knowledge article, refining existing guidance, or flagging any recurring issues.

• Own the annual and quarterly revenue planning process, including quota setting, territory design, and headcount modeling in partnership with Sales leadership and Finance. • Develop and maintain a single source of truth for GTM performance, pipeline health, and revenue forecasting. • Drive the Appspace GTM operating cadence — including QBRs, pipeline reviews, and forecast calls — ensuring rigor, consistency, and accountability. • Lead and develop a high-performing Revenue Operations team spanning sales ops, marketing ops, CS ops, and data/analytics. • Design and enforce consistent sales processes, methodologies, and rules of engagement across all GTM segments (SMB, Mid-Market, Enterprise). • Identify and remove operational friction across the sales cycle to improve rep productivity and deal velocity. • Own the GTM technology stack (CRM, marketing automation, sales engagement, BI/analytics, CPQ, etc.) — driving adoption, integration, and continuous improvement. • Partner with IT and external vendors to evaluate, implement, and optimize RevOps tooling that scales with Appspace's growth. • Ensure data integrity, governance, and hygiene across all systems to enable accurate reporting and decision-making. • Build and maintain a comprehensive GTM analytics function that delivers actionable insights to senior leadership and the Board. • Define and track the KPIs and leading indicators that drive revenue growth, including pipeline coverage, win/loss rates, CAC, NRR, and sales cycle time. • Develop forecasting models and scenario analyses that support strategic planning and investor reporting. • Serve as a trusted strategic partner and thought leader to the CSO and the broader GTM leadership team. • Align Marketing, Sales, and Customer Success operations to deliver a seamless end-to-end customer journey. • Partner with Finance on revenue recognition, commission plan design, and board-level financial reporting. • Drive alignment between RevOps and Product on usage data, expansion signals, and feedback loops.

• Own the customer experience: adoption and value of Appspace, customer satisfaction and retention • Conduct frequent check-in meetings with assigned customers as prescribed to ensure smooth operation of our software and identify challenges • Drive subscription renewal and/or expansion process following prescribed process and utilizing appropriate tools and resources as needed • Collaborate with fellow team members in sales and marketing as needed for larger expansion opportunities • Promote customer awareness of new releases and features, provide insight through other use cases, and offer insightful reporting and analytics • Serve as the customer advocate, facilitating open discussions at all times • Help resolve customer questions and/or find the answer working with internal teams • Escalate support tickets as needed to ensure timely resolution of technical problems • Deliver or arrange training sessions as needed for technical and non-technical users • Communicate effectively and contribute to the broader CSM team best practices • Product setup or configuration assistance

• Own end-to-end delivery of strategic professional services projects, including space reservation systems, intranet infrastructure deployments, and digital signage implementations. • Develop and manage project charters, scopes of work, timelines, budgets, risk logs, and stakeholder communication plans from kickoff through go-live. • Coordinate cross-functional delivery teams – Solution Architects, Business Consultants, and partner vendors – ensuring on-time, on-budget delivery aligned to client expectations. • Proactively identify and mitigate project risks, escalating appropriately while maintaining client confidence throughout the engagement. • Conduct project retrospectives and post-implementation reviews to capture lessons learned and strengthen delivery methodology. • Support executive-level discovery sessions and workshops to understand client business objectives, operational challenges, and technology environments.

Role Description As the Performance Engineering Lead, you will be responsible for building and owning Appspace's performance engineering capability from the ground up. This is a foundational role — you will define the strategy, select the toolchain, establish the first baselines across our product suite, and integrate performance gates directly into our CI/CD pipeline. You will serve as the technical authority on all performance decisions, ensuring that every service boundary in Appspace's platform is covered by a measurable, enforceable performance contract. As we scale our AI-driven development lifecycle (AIDLC), you will also ensure that AI-generated code meets the same performance standards as human-written code — making automation the enforcer of quality, not a bypass of it. - Own end-to-end performance testing strategy across all Appspace product lines — Digital Signage, Space Reservation, Visitor Management, and Intranet. - Design, build, and maintain a performance testing framework using k6 (primary) and Locust, with a baseline artifact store in Google Cloud Storage. - Establish performance baselines for critical user journeys and service boundaries, starting with Signage as the highest-traffic product line. - Integrate automated performance gates into the CI/CD pipeline, ensuring regressions are caught before they reach production. - Leverage AI and AI tools throughout the entire test lifecycle—from generating test cases, optimizing test execution schedules, to autonomously monitoring test results and identifying performance degradation patterns. - Define and enforce performance SLAs — including p95 latency targets, throughput thresholds, and error rate limits — across all product domains. - Work closely with AI Delivery Leads in each product squad to ensure that AI-generated code touching service boundaries triggers automated load test candidates in the pipeline. - Co-author performance test plans with domain engineers across Signage, Space+Visitor, Intranet, and Core Platform squads. - Build and operate regression detection alerting, feeding results into the AIDLC metrics framework and engineering leadership dashboards. - Champion performance engineering best practices across globally distributed engineering teams. - Communicate performance posture, test coverage progress, and regression trends accurately and regularly to engineering leadership. - Grow the function over time — mentoring a Phase 2 AI QE / Performance Engineer sourced from the internal QA retraining programme. Qualifications - Degree in Computer Science, Software Engineering, or equivalent. - Minimum 7 years' experience in software engineering including at least 4 years of strong focus on performance testing, load testing, or site reliability engineering for multi-tenant, SaaS applications. - Proven hands-on experience designing and executing load and performance test strategies at scale — not just running tools, but owning the programme. - Strong proficiency with k6 and/or Locust for scripting and executing load tests against REST APIs and web applications. - Experience integrating performance tests into CI/CD pipelines (e.g., GitHub Actions, Bamboo, Jenkins) as quality gates. - Experience with Google Cloud Platform (GCP) and Kubernetes — ability to reason about infrastructure behaviour under load. - Practical familiarity and hands-on experience using Generative AI tools (e.g., Claude, Cursor) to augment test development, scripting, or analysis workflows. - Proficiency in Python and/or JavaScript/TypeScript for test scripting and tooling automation. - Strong understanding of microservices architecture, API design, and distributed system performance characteristics. - Experience with observability tooling — Grafana, Prometheus, Cloud Monitoring, or equivalent — for baseline measurement and regression detection. - Experience with version control tools (Git) and familiarity with trunk-based development workflows. - Strong analytical and problem-solving skills — able to diagnose performance regressions from first principles, not just tooling output. - Excellent communication skills, both written and verbal — able to translate technical performance data into clear engineering and leadership narratives. - Ability to work independently in a globally distributed team environment across time zones. Requirements - Experience working with or evaluating AI-generated code in an engineering pipeline context. - Familiarity with chaos engineering principles and tooling (e.g., Chaos Monkey, Gremlin). - Experience with SQL and/or NoSQL databases (e.g., MongoDB, PostgreSQL) and understanding of database performance under load. - Experience with BrowserStack or equivalent cross-browser and cross-device performance testing. - Background in SRE or platform engineering at a SaaS company. Benefits - For all our KL based team members, we offer a variety of benefits from competitive salaries, medical, dental and vision coverage, mental health resources, a 14 week maternity leave program and transport/parking allowance. - 20 Days PTO - Flexible work schedules - Remote work opportunities - Paid company holidays - Appspace Quiet Fridays (No non-essential internal meetings scheduled) - A casual dress work environment

• Be the technical anchor for a global platform footprint that includes a mix of Azure IaaS/PaaS, Google Cloud Platform (GCP), Kubernetes, and various data platforms. • Identify manual "toil" and replace it with automated workflows for monitoring, change management, and routine administration of large-scale VM environments to ensure a positive ROI. • Lead the integration of AI tools for automated code reviews, development frameworks, and predictive log analysis to drive departmental velocity and efficiency. • Design and maintain "self-service" deployment frameworks and CI/CD pipelines (GitHub Actions, Bamboo) using Infrastructure as Code (Bicep, Terraform). • Evaluate platform components to determine the most cost-effective path: automating the current state or migrating features to modern, shared architectures. • Design and maintain a comprehensive observability stack across Azure and GCP (metrics, logs, traces) to identify performance bottlenecks and proactively address system defects. • Partner with engineering, security and operations teams to ensure new features are "born" with reliability, security and automated delivery in mind; Ensure adherence to security best practices and compliance standards (SOC2, HIPAA, ISO 27001) and operational excellence with cost efficiency. • Investigate complex performance defects by following log trails across web, application, and database tiers (SQL Server, MongoDB, MySQL). • Ensure all platforms meet security standards (SOC2, HIPAA, ISO 27001) through automated policy enforcement across Azure and GCP.