Job Description

The Director, Site Reliability Engineering plays a critical role in ensuring the continuous and reliable operation of SmartRent services at the property level. This role drives system reliability, oversees property health, and partners closely with Engineering and Support teams to develop scalable processes and observability tools that sustain operational performance and deliver consistent client value.

Responsibilities

• Own property-level system reliability outcomes, including oversight of device-only networks and overall property health performance. 
• Drive adoption and effective utilization of SmartRent tools and services across properties through monitoring, insights, and continuous improvement efforts.
• Establish proactive detection and response frameworks to identify localized system issues and lead coordinated cross-functional resolution efforts. 
• Provide leadership oversight of property transfers and escalated issues, ensuring consistent resolution standards and service continuity. 
• Partner with Engineering leadership to design and implement observability tools and processes that enable scalable monitoring of system health and events.
• Define, document, and enforce standardized operational processes to ensure consistency, accountability, and cross-functional alignment. 
• Collaborate with Support leadership to develop dashboards and reporting capabilities that deliver actionable insights into property engagement, activity, and performance trends. 
• Lead the strategic oversight of IoT support operations, including installation support workflows and escalation management frameworks. 
• Oversee validation and controlled deployment of IoT firmware updates across hubs and connected devices to ensure reliability and minimize operational risk.
• Establish and maintain data integrity standards at the property level while contributing domain expertise to enterprise knowledge resources and training materials.

Required Qualifications

• Demonstrated experience in network operations, including both wired and wireless environments. 
• Experience utilizing observability and monitoring tools (e.g., Datadog, Observe, or similar platforms). 
• Strong troubleshooting expertise, including developing and maintaining runbooks and technical documentation. 
• Foundational programming, scripting, and automation skills; ability to leverage automation to improve operational efficiency is required. 
• Working knowledge of cloud-based infrastructure, such as AWS or comparable platforms. 
• Significant operational experience with a proven ability to design, implement, and sustain clear, scalable processes that teams consistently follow.
• Strong cross-functional collaboration skills, with experience working across internal teams to resolve complex operational issues and achieve shared goals.

Preferred Qualifications

• Demonstrated business acumen, including the ability to connect reliability and operational efforts to measurable business and customer value.
• Experience translating technical reliability outcomes into clear customer-facing or executive-level value narratives.

Job Description

SmartRent is looking to add Regional Sales Executives in our Phoenix Corporate Headquarters. You will oversee and grow mid-market level accounts within a given territory. The Regional Sales Executive will be responsible for driving revenue growth and accountable for the full sales cycle from prospecting to closing and drive new business sales.

Responsibilities

• Establish, own and navigate buying committee relationships 
• Lead in depth discovery discussions to better understand our clients business operations, identifying true pain points for our partners to expertly diagnose the proper solutions
• Partner with our Solutions Engineers team for in depth technical conversations and understanding of our clients work flow and how we seamlessly integrate
• Become an expert not only in SmartRent solutions, but in SmartHome technology to take a truly consultative approach for our industry partners
• Collaborate with Sales Leaders, Solutions Engineers, Marketing, Account Managers and more to build strategic business plans for customers to execute deals and get across the finish line faster
• Attend industry events and conferences with other sales and marketing team members
• Have fun doing quality work with a rapidly growing company, selling the best SmartHome solution available on an amazing team!

Required Qualifications

• 2+ years as a sales hunter (new logo/new revenue acquisition) 
• Experience managing a pipeline and closing SaaS contracts
• The ability to develop senior level relationships quickly and effectively
• Experience presenting to C-suite executives at leading enterprise companies
• Ability to simultaneously manage multiple opportunities at various stages of the buying process
• An all-in mentality ready to hit the ground running, have some fun and crush your goals as an individual and as a team player.

#LI-Hybrid

Job Description

The Account Management team at SmartRent engages and maintains relationships with our key clients, identifies expansion opportunities within each assigned portfolio, and assists with client onboarding. You will collaborate cross-functionally with other internal stakeholders to ensure a smooth rollout of SmartRent’s products and services, and overall customer satisfaction. In this position, you will report to our Vice President of Strategic Accounts.

Responsibilities

• Lead client onboarding calls at the corporate level which includes; guide clients through our onboarding process, educate clients on specific product use-cases, successfully de-escalate client concerns, and identify potential expansion opportunities to drive additional revenue.
• Effectively communicate action items and assign ownership responsibilities after client calls, ensuring the necessary internal teams complete tasks and clients are up-to-date on our process
• Act as the client’s strategic partner. Hold quarterly business review calls with clients in your portfolio, ensuring they are effectively adopting SmartRent’s offerings. 
• Work collaboratively with Sales and Marketing team members on expansion and renewal opportunities to promote client retention within your assigned portfolio.
• Document all communications in our CRM (Salesforce) so that our client records and other internal stakeholders can stay up-to-date.
• Act as a cross-functional team liaison by identifying and tasking issues which require involvement from other internal stakeholders (i.e. sales and operations).
• Coordinate with internal Operations teams to ensure a timely and successful implementation of SmartRent’s products and services.
• Identify areas of improvement within our processes/systems by adding your own suggestions to improve efficiencies.
• Perform other duties as required.

Required Qualifications

• Minimum 3-5 years of experience in an Account Management role or a similar position with enterprise client relationship management experience
• Strong client relationship management skills with the ability to handle a sizable portfolio of enterprise accounts and the ability to lead calls with corporate leaders (C-suite executives, VPs, Directors, etc.)
• Experience in a role where success is measured on client retention and  being responsible for client retention; understanding of upselling/cross-selling strategies and the ability to influence client retention and revenue expansion opportunities.
• Experience documenting communications and other client information into a CRM software solution (preferably Salesforce)
• Team player with proven ability to work collaboratively with cross-functional teams
• Excellent written and verbal communication as well as presentation skills
• Enthusiasm and patience to handle client challenges
• Strong attention to detail and organization skills
• An excellent work ethic with a sense of urgency

Preferred Qualifications

• Previous experience working for a SaaS company or tech startup with enterprise solutions
• Property Management or Multifamily vendor experience

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Job Description

The Embedded Software Engineer is responsible for developing and maintaining firmware for SmartRent devices, including Z-Wave controllers (hubs) and access control systems. This role supports the integration of hardware devices with SmartRent platform services, enabling reliable communication between field devices and cloud-based systems.

This role contributes to firmware development using the Nerves framework and Elixir-based systems and collaborates with hardware, platform, and application teams to implement new functionality, support device reliability, and maintain existing device software.

Responsibilities

• Lead medium- to large-scale development efforts across the embedded stack, from firmware through device interfaces, operating with a high degree of autonomy while collaborating with cross-functional teams.
• Design, develop, and maintain firmware for SmartRent IoT devices using Elixir and the Nerves framework.
• Lead the bring-up of new hardware platforms, including driver development, peripheral integration, and system validation.
• Develop and maintain device-local user interfaces running on embedded hardware using technologies such as Phoenix, Flutter, and gRPC.
• Integrate third-party systems, including HVAC, access control, and Z-Wave platforms, by interpreting vendor documentation and supporting required communication protocols.
• Develop and maintain automated tests and supporting documentation to ensure system reliability and prevent regressions across deployed devices.
• Develop project timelines, manage deliverables against defined milestones, and communicate risks, dependencies, and requirement changes proactively.
• Support team development through code reviews, technical guidance, knowledge sharing, and mentorship of less experienced engineers.
• Contribute to internal tooling, shared engineering resources, and open-source initiatives aligned with SmartRent’s technical ecosystem.

Required Qualifications

• Minimum of 4 years of hands-on software development experience.
• Proficiency in Elixir or Erlang/OTP, with working knowledge of the BEAM runtime, or demonstrated ability to learn and apply functional programming concepts.
• Experience with, or demonstrated interest in, embedded Linux systems development.
• Working knowledge of Linux internals, including device trees, kernel configuration, system boot processes, and shell tooling.
• Demonstrated ability to deliver projects from design through deployment with minimal supervision.
• Strong written and verbal communication skills, with the ability to collaborate effectively across teams.
• Demonstrated ability to learn and apply new tools, languages, and technologies as required.
• Must be authorized to work in the United States without the need for employer sponsorship now or in the future.

Preferred Qualifications

• Experience with the Nerves framework or embedded Elixir development.
• Experience with Phoenix, LiveView, or other Elixir-based web frameworks.
• Working knowledge of C/C++ for hardware-adjacent development or driver support.
• Familiarity with IoT communication protocols, such as MQTT, Z-Wave, or BLE.
• Exposure to HVAC or building automation systems.
• Experience integrating access control systems or similar hardware-based platforms.
• Ability to read and interpret hardware datasheets and schematics at a foundational level.
• Experience contributing to open-source projects or shared technical libraries.
• Familiarity with Amazon Web Services (AWS), particularly in IoT-related environments.

#LI-Remote

Job Description

The Channel Sales Director is a key leadership role responsible for driving indirect revenue growth through a high-performing partner ecosystem. Reporting to the Chief Revenue Officer, you will be the primary owner of our channel program, overseeing partner relationships and developing the strategies that expand our market presence. Success in this role requires a strategic, results-oriented approach and the ability to build scalable, predictable revenue through complex partner environments.

Responsibilities

• Develop and execute the annual channel sales strategy, aligning it with company-wide revenue targets.
• Identify untapped market opportunities and define the partner recruitment strategy to penetrate them.
• Design and own partner programs, including tier structures, discount levels, and deal registration policies.
• Own the channel revenue forecast and hold partners accountable to KPIs and pipeline commitments.
• Lead Quarterly Business Reviews (QBRs) with top-tier partners to drive alignment on revenue goals and growth initiatives.
• Establish clear frameworks for managing channel conflict between direct sales teams and external partners.
• Partner with Sales Enablement to define the readiness standard and ensure partners can effectively pitch, demo, and close.
• Serve as the internal champion for the channel program, driving cross-functional alignment across Sales, Marketing, and Operations.
• Shape the demand generation strategy with Marketing, equipping partners with scalable, deployable campaign assets.

Required Qualifications

• 5–10 years in Channel Sales or Business Development, with at least 3 years in a leadership role within the SaaS/Hardware/Tech industry.
• Proven history of meeting or exceeding multi-million dollar quotas through indirect channels.
• Ability to toggle between high-level strategy and the "boots on the ground" tactical work of closing a partner deal.
• Exceptional negotiation skills and the ability to influence C-level executives at partner organizations.

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Job Description

The Senior Vice President Information Technology, Enterprise Data and AI is responsible for building and scaling a product-grade, enterprise data and AI platform that accelerates business outcomes. This leader sets the vision and drives execution across data engineering, analytics, and AI, partnering closely with Product, Engineering, and Business leaders to embed data and intelligence directly into products, workflows, and decision-making.

This role balances strategic leadership with hands-on technical depth, operating with a strong bias toward delivery, platform reliability, and customer.

Responsibilities

Product-Led Data & AI Strategy

• Define and own the enterprise data and AI product vision, roadmap, and operating model aligned to company strategy.
• Treat data platforms, analytics, and AI capabilities as products with clear customers, SLAs, adoption metrics, and ROI.
• Partner with Product and Engineering leaders to embed analytics, ML, and GenAI into core products and internal platforms.

Data Platforms & Engineering Excellence

• Lead the design, build, and operation of scalable, cloud-native data platforms, including ingestion, transformation, lakehouse/warehouse, streaming, and BI layers.
• Establish engineering standards for data quality, reliability, security, performance, and cost efficiency.
• Drive modernization from legacy systems to modern data architectures, balancing speed, resilience, and technical debt reduction.

Analytics, AI & ML Enablement

• Enable teams to deliver production-ready analytics, ML, and AI solutions that solve real customer and business problems.
• Establish pragmatic MLOps / AI operational practices to move from experimentation to repeatable value.
• Champion responsible, governed use of AI while accelerating adoption across products and teams.

Operating Model, Governance & Delivery

• Define DataOps / Software Development Life Cycle (SDLC) practices that align with product and engineering delivery models.
• Implement enterprise data and AI governance (quality, privacy, security, responsible AI) without slowing innovation.
• Own platform KPIs, including data quality, time-to-value, platform adoption, and cost management.

Leadership & Collaboration

• Build and lead high-performing teams across data engineering, analytics, and data science.
• Act as a hands-on leader when needed, unblocking teams, reviewing designs, and accelerating delivery.
• Drive alignment across Product, Engineering, Security, Legal, and Business stakeholders in a matrixed environment.

Required Qualifications

• 15 to 20 years of experience across data engineering, analytics, and AI, with senior leadership experience in product- or engineering-led organizations.
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field 
• Proven track record building and scaling enterprise data platforms as products in complex environments.
• Deep understanding of modern data architectures, cloud platforms, and analytics/ML systems.
• Demonstrated ability to translate business and product needs into shippable, reliable data and AI capabilities.

Preferred Qualifications

• Masters degree Computer Science, Software Engineering, Computer Engineering, or related field 
• Experience in Property Management or Multi-Family housing industry.
• Strong executive presence with the ability to influence, prioritize, and drive outcomes across teams.