At MNTN, we're looking for a Senior Software Engineer for our Attribution squad, the team behind Verified Visits™, our proprietary attribution system that helps brands finally answer the age-old marketing question: "Did this actually work?" Spoiler: it did, and you'll be a part of the team making it happen.

Our microservices handle hundreds of millions of requests per day, powering a real-time behavioral marketing platform that drives performance in cross-device advertising. We heavily utilize open source technology alongside in-house solutions to meet the low-latency demands of rapid-response advertising.

What You'll Do

• Design and build a robust attribution platform that reaches the right audience, anywhere, anytime
• Build high-volume Kotlin services that are reliable at scale on GCP/GKE
• Design and own data pipelines using SQLMesh, Airflow, and BigQuery to power attribution analytics and downstream products
• Write and optimize SQL against large datasets for both production services and analytical workloads
• Collaborate with and explain complex technical issues to product teams and partner engineering squads
• Mentor engineers across the team and raise the bar on design, testing, and operational quality
• Optimize and enhance existing services and pipelines

What Success Looks Like

• Within 90 days, you've ramped on the Attribution stack, shipped meaningful changes to production, and are comfortable navigating our service topology and data model
• You own new data pipelines end-to-end from requirements through SQLMesh/Airflow design, deployment, and on-call. You partner with data analysts to make attribution data trustworthy and easy to consume
• You're a trusted technical voice in cross-squad discussions, helping shape attribution-adjacent work and mentoring engineers through design and code review

What You'll Bring

• 5+ years of backend development experience, ideally in Kotlin (Java or Scala also welcome)
• 3+ years writing production SQL: query optimization, window functions, and schema design against large datasets
• Experience designing and operating data pipelines with tools like SQLMesh, Airflow, dbt, or similar
• Experience with cloud data warehouses (BigQuery preferred; Snowflake, Redshift, etc. also relevant)
• Experience with microservice architectures running on Kubernetes (GKE preferred)
• Experience with event streaming (Kafka or similar)
• Python experience for scripting and pipeline work
• Strong knowledge of modern design patterns and distributed systems fundamentals
• Comfortable writing effective unit and integration tests with frameworks
• Proficient with Git and a Linux/UNIX environment
• Knowledge of NoSQL databases such as Cassandra (preferred)
• Experience mentoring engineers and influencing technical direction across a team

What You’ll Do:

• Maintain a deep understanding of our platform and its supporting infrastructure and processes,
  as well as how our compliance obligations apply to that environment.
• Provide responses to and maintain reference material for customer inquiries and due diligence
  procedures that involve technology compliance and participate in discussions for security and
  compliance assessments.
• Continuously confirm and refine MNTN’s internal control framework and related
  documentation (e.g., policies, procedures, narratives, training material) and contribute to
  ongoing controls development and improvement.
• Own evidence collection for our various audits, especially SOX and SOC2.

What You’ll Bring:

• 5+ years of security or compliance analysis, or assurance/advisory experience, including
  building controls in the technology space.
• A thorough understanding of technical environments, and the ability to communicate with
  subject matter experts about technical and operational security controls.
• Experience mapping and rationalizing controls to meet requirements across multiple
  information security/technology compliance standards (SOX, SOC2, ISO 27001, GDPR, IT
  General Controls)
• You have excellent written and verbal communication skills to communicate details of a
  security program to a wide spectrum of audiences, including customers.
• You have strong analytical skills and attention to detail.
• Be flexible and can adapt to a changing environment.
• You can be self-directed and take initiative on projects and tasks, and in identifying gaps related
  to security controls, with minimal day-to-day oversight/direction.
• Knowledge of Amazon Web Services, Google Cloud Services and Container technologies.
  CISA, CISM, CISSP, or related certification
• Experience using governance, risk management, and compliance (GRC) tools.

We are seeking a Technical Program Manager (TPM), Audience Targeting to join the Technical Program Management team.

This role owns the strategy, performance, and evolution of our audience targeting capabilities. You are responsible for building capabilities that enable our customers to identify, segment, and reach audiences effectively, improving campaign performance and business outcomes.

This role requires deep, hands-on experience in AdTech audience targeting systems. You have previously owned or significantly contributed to targeting, segmentation, or identity-driven products and have demonstrated measurable impact on campaign performance.

You will operate at the intersection of Engineering, Data Science, Product, and Marketing, shaping both the underlying targeting infrastructure and the product surfaces that enable it.

What you'll do

Product Strategy & Direction

• Own the roadmap for audience targeting capabilities, including segmentation, targeting logic, and supporting infrastructure
• Translate company objectives into targeting strategy that enables customers to improve campaign performance
• Identify high-impact opportunities to improve targeting precision, scale, and usability

Problem Framing & Value Definition

• Define clear problem statements grounded in customer outcomes (e.g., reach, match rate, performance lift)
• Establish success metrics for targeting capabilities and ensure alignment across stakeholders
• Prioritize initiatives based on expected impact to customer performance and business value

Solution Quality & Tradeoff Judgment

• Partner with Engineering and Data Science to design targeting systems that balance:
• Accuracy vs scale
• Latency vs performance
• Flexibility vs system complexity
• Ensure solutions are durable, measurable, and aligned with long-term platform direction
• Avoid over-investment in low-impact targeting features or excessive system complexity

Technical Fluency & Systems Understanding

• Work closely with Data and Engineering to understand:
• Audience ingestion pipelines
• Identity resolution inputs and dependencies
• Data quality and signal reliability
• Translate system constraints into product decisions and roadmap sequencing
• Engage deeply in discussions around data models, APIs, and targeting infrastructure

Outcome Accountability

• Own performance of targeting capabilities as measured by:
• Campaign performance improvements enabled by targeting
• Audience match rates and signal utilization
• Targeting efficiency and precision
• Drive iteration through experimentation, data analysis, and performance monitoring
• Ensure targeting capabilities consistently enable acquisition of high-value customers

Scope & Organizational Influence

• Drive alignment across Engineering, Data Science, Product, and Marketing teams
• Act as the central point of accountability for targeting strategy and tradeoffs
• Communicate clearly with leadership on performance, risks, and opportunities

What you'll bring

• 5+ years of Product Management or Technical Program Management experience within AdTech or MarTech, with direct ownership of audience targeting or segmentation systems
• Proven track record of improving campaign performance through targeting strategies (e.g., conversion lift, efficiency gains, higher-quality audiences)
• Deep experience working with:
• Audience segmentation platforms
• Identity graphs or identity resolution systems
• Targeting and optimization systems
• Strong understanding of:
• Data pipelines and audience ingestion flows
• Signal quality, enrichment, and data reliability
• Tradeoffs between scale, accuracy, and latency in targeting systems
• Experience partnering closely with Data Science or ML teams on model-driven targeting
• Ability to define, measure, and iterate using experimentation and performance data
• Strong analytical skills; ability to translate data into product decisions
• Excellent stakeholder management and communication skills

What success looks like

• Targeting capabilities enable measurable improvements in campaign performance
• Increased audience scale & match rates, and effective use of available signals
• Targeting systems that balance scale, precision, and performance
• Clear, shared understanding of targeting metrics across teams
• Strong alignment between Engineering, Data Science, and Marketing on targeting strategy
• Continuous iteration and improvement driven by data and experimentation

As a Software Engineer on the AI Efficiency team, you will bridge the gap between emerging AI capabilities and real-world business needs. You’ll design and build AI-powered tools and agents that automate workflows, support business teams, and unlock new opportunities for efficiency across the organization. Your work will directly influence how AI drives impact throughout MNTN.

What you’ll do

• Design and build internal AI-powered tools and integrations — including generative AI applications and autonomous AI agents — that help business teams work smarter and faster.
• Architect, develop, and maintain AI agents that automate complex multi-step workflows, make decisions, and interact with internal systems on behalf of users.
• Evaluate, prototype, and recommend generative AI solutions (LLM APIs, agent frameworks, code generation tools) tailored to specific business problems.
• Act as an AI evangelist within engineering — running workshops, writing internal guides, and mentoring teammates on generative AI development patterns and agent design.
• Define and maintain best practices for prompt engineering, agent orchestration, model selection, responsible AI usage, and cost management.
• Partner with product and business stakeholders to identify high-impact opportunities for generative AI and agent-driven automation.
• Stay on the cutting edge of the generative AI and agentic AI landscape and translate new developments into actionable opportunities for the company.

What success looks like

• Delivery of AI tools and agents that measurably improve efficiency across business teams.
• Successful deployment of generative AI solutions with high adoption and usability within internal teams.
• Clear documentation, guides, and workshops that enable other engineers and business stakeholders to leverage AI tools effectively.
• Adoption of best practices for responsible AI usage, cost management, and agent orchestration across the organization.
• Influence on business outcomes through AI-driven automation and insights.

What you’ll bring

• 3+ years of software engineering experience, with at least 1 year focused on generative AI or LLM application development.
• Experience with Model Context Protocol (MCP) — building MCP servers, integrating MCP clients, or connecting AI agents to external tools and data sources via MCP.
• Hands-on experience building with LLM APIs (e.g., OpenAI, Anthropic, Gemini, open-source models), vector databases, and orchestration/agent frameworks (e.g., LangChain, LangGraph, CrewAI, LlamaIndex, ADK).
• Experience designing or building AI agents — including tool-using agents, multi-agent systems, or agentic workflows.
• Cloud-native development experience — comfortable deploying and operating services in AWS, GCP, or Azure using containers, serverless functions, or managed AI/ML services.
• Strong communication skills — able to explain complex generative AI concepts to non-technical stakeholders and get engineers excited about new tools.
• A product-minded approach: you think about user problems first, not just the technology.
• Self-directed and comfortable operating with ambiguity in a fast-moving space.

MNTN is seeking a business-focused Commercial Counsel to support the company’s continued growth. In this role, you will serve as a strategic partner to the business, driving commercial success while thoughtfully managing risk across a range of initiatives.

We’re looking for a pragmatic self-starter who thrives in a fast-paced, high-growth environment and can lead the full lifecycle of commercial engagements while advising on broader legal matters. Reporting to the Head of Legal as the second-in-command on the team, you will collaborate closely with cross-functional partners across the organization to support MNTN’s strategic objectives.

What you’ll do

• Own the full lifecycle of commercial contracts, including drafting, reviewing, negotiating, and closing customer agreements, vendor contracts, partner agreements, NDAs, and data processing agreements
• Partner closely with Sales, Customer Success, Engineering, Finance, and Leadership to structure deals, mitigate risk, and support revenue goals while maintaining practical, business-focused legal standards
• Provide legal guidance regarding data privacy and security best practices and policies in light of evolving state, federal, and international privacy laws and regulations
• Work closely with the head of legal on other legal matters, including SEC reporting, corporate governance, litigation, intellectual property, and employment matters.
• Lead contract negotiations with customers and vendors, balancing speed and commercial objectives with appropriate legal protections
• Provide strategic legal guidance as new products, services, and partnerships are developed and brought to market
• Collaborate cross-functionally to improve contracting processes, templates, and workflows to increase efficiency and scalability
• Serve as a trusted advisor to internal stakeholders on commercial, data privacy, and operational risk considerations

What success looks like

• You’ve taken ownership of the commercial contracting lifecycle, independently and efficiently responding to contract support tickets and executing agreements efficiently while maintaining practical risk management standards.
• Cross-functional teams view you as a proactive, solutions-oriented partner who helps accelerate deals and strategic initiatives.
• Your negotiations balance speed and commercial objectives with appropriate legal protections and clear communication of risk.
• You’ve identified and begun implementing improvements to templates or workflows that increase efficiency and support scalable growth.
• You’re providing business-focused legal guidance on new products, partnerships, and strategic initiatives.

What you bring

• 4+ years legal experience, at a leading law firm, or split between a law firm and in-house at a high-growth tech company, ideally within the software advertising space
• High academic achievements from a leading undergraduate university and a top-tier law school
• Strong business acumen and can approach complex problems and solve them
• Creative - you approach every problem with a question, “What is the right answer for us?” not just, “What do other people do?”
• An ownership mentality - you are a doer, you roll up your sleeves and get the job done, you are detail-oriented
• Integrity and character - you are comfortable working in a fast-paced startup environment that will require you to manage competing priorities, pivot quickly and often, and continually grow as the company grows
• Comfortable or will become comfortable outside of your current areas of expertise, you don’t “build fences.” We understand you can’t be an expert in all areas, but expect you to dig in and contribute in all area

We’re seeking a qualified Sales Development Representative to find and screen potential customers who can benefit from our suite of products and services designed to help brands reach their audience across Connected TV, web, and mobile. 

As the first line of communication with prospects, ideal SDR's have a strong understanding of the sales process, excel at researching leads, nurture new relationships, and set up our sales closers for success. We are keen on someone who is a quick learner with strong communication skills and possesses the ability to showcase our offerings in a compelling way. Every potential customer is an opportunity for you to boost top-line revenue growth, customer acquisition levels, and profitability.

You will:

• Meet and exceed monthly opportunity/meeting quotas measuring a daily cadence of outbound emails and phone calls to targeted prospects
• Generate leads and build relationships by nurturing warm prospects and uncovering new accounts meeting our ideal customer profile
• Create highly effective and personalized email sequences to engage targeted accounts
• Represent MNTN’s products and services, starting with a comprehensive understanding on how our solutions deliver against a prospect’s needs
• Collaborate with Account Executives to learn product and sales strategy to improve success
• Successfully complete onboarding and welcome a coaching culture dedicated to growth and improvement
• Maintain accurate activity, contact, and account information on all prospects

You have:

• 1+ years of SaaS selling experience or working in a business development role supporting a high velocity sales organization with a track record of achieving sales and activity quotas
• Demonstrated ability in crafting and sending a combination of highly personalized emails, overcoming objections, and creative thinking
• Ability to learn/understand and articulate our solution sets as well as communicate a compelling narrative around bottom-line value propositions
• Professional and effective in a variety of communication settings such as email, video conference, and phone
• Strong organizational and time management skills; demonstrated success in working remotely
• Able to think strategically and tactically; maintain a positive attitude in the face of criticism, rejection, or failure
• Strong desire and ability to move up within a sales organization; passion for selling and closing deals with a focus on customer satisfaction
• Proficiency with the typical sales stack; Salesforce CRM, Zoom Info, Salesloft, Chorus.io, Zoom, LinkedIn Sales Navigator

The Backend Reporting squad builds and operates the data foundation that powers customer-facing reporting and data-driven decision-making at MNTN. The team transforms raw, log-level data into reliable, scalable, and durable analytics systems that serve as the single source of truth for enterprise reporting.

The squad owns the full lifecycle of reporting data across MNTN, including core performance metrics (Visits, Conversions, Impressions), incrementality, reporting-facing invoicing data, and all reporting ETL pipelines. This includes ownership of metric definitions and versioning, transformations across the Bronze, Silver, and Gold layers in BigQuery, all SQLMesh models and Airflow jobs, reporting databases such as ClickHouse, and the systems that ensure data quality, freshness, performance, cost efficiency, and reporting SLAs. The team is accountable for reporting correctness end-to-end, including automated testing, data contracts, incident response, and durable remediation.

We are looking for a Backend Reporting Engineering Manager to lead a team of Data Engineers and Analytics Engineers responsible for the systems that power all reporting analytics at MNTN.

This is a hands-on engineering leadership role focused on building and operating production-grade data systems with real SLAs, cost constraints, and failure modes. The ideal candidate has deep experience in Data Engineering, Analytics Engineering or SRE-adjacent roles in production and brings a strong bias toward automation, reliability, and operational excellence.

While this role is platform-heavy, it also carries meaningful Product ownership and stakeholder-facing responsibility. The manager is expected to represent the reporting platform with clarity and credibility, translate business needs into durable system design, and ensure that reporting capabilities evolve in lockstep with customer and business requirements.

What you'll do

• Lead, mentor, and grow a team of Data Engineers and Analytics Engineers responsible for MNTN’s reporting foundation.
• Own all analytics business logic and data engineering systems that power reporting, including:
• Metric definitions, computation logic, versioning, and change management
• ETLs and transformations across the medallion architecture (Bronze, Silver, Gold)
• Data quality, reconciliation, validation, and automated testing frameworks
• Act as the primary owner of reporting correctness, ensuring consistent definitions and behavior across all downstream consumers.
• Establish and enforce data contracts, freshness guarantees, and reporting SLAs in partnership with Product and customer-facing teams.
• Drive the design and evolution of reporting schemas optimized for performance, cost efficiency, and ease of extension as requirements change.
• Build systems and guardrails that prevent regressions, reduce manual QA, and replace brittle, one-off logic with standard patterns.
• Lead incident response for reporting data issues, including stakeholder communication, root cause analysis, and durable remediation.
• Partner closely with Program, UI, and API teams to:
• Shape reporting requirements early
• Clarify tradeoffs between speed, accuracy, and complexity
• Support new customer-facing insights without compromising platform stability
• Represent the Backend Reporting squad in cross-functional forums, providing clear status, risks, and recommendations to stakeholders.
• Continuously improve performance tuning and cost optimization of analytics workloads, particularly in BigQuery.
• Set and uphold a high bar for operational rigor, testing discipline, and production readiness across the team.

What success looks like

• Faster, safer iteration on metrics and KPIs.
• Low data incident rates and fast MTTR when issues occur.
• Consistent adherence to reporting SLAs.
• Measurable reduction in manual QA and rework.
• Predictable cost and performance characteristics of analytics workloads.
• High trust in reporting data across Product, Engineering, and the business.

What you'll bring

• Proven experience managing Data Engineers, Analytics Engineers or SRE-adjacent Engineers building scalable production data platforms, not just consuming data.
• Strong background in data engineering, distributed systems, or platform infrastructure.
• Demonstrated ability to balance platform rigor with Product ownership, including shaping requirements and setting expectations with stakeholders.
• Deep understanding of SQL-based analytics systems, including schema evolution, backfills, and versioned transformations.
• Experience operating data pipelines with defined SLAs for freshness, correctness, and performance.
• Hands-on familiarity with modern analytics tooling (e.g., SQLMesh, dbt-class frameworks, Airflow-class orchestration).
• Track record of reducing operational toil through automation, standardization, and system-level design.
• Experience with data observability, testing frameworks, and incident management in production environments.
• Strong stakeholder-facing communication skills, with the ability to explain complex data behavior clearly to non-technical audiences.
• Execution-oriented leadership style: you prioritize clarity, accountability, and outcomes over process theater.