Who We Are:Digible is a privately owned and operated digital marketing company founded in 2017 with a mission to bring cutting-edge solutions to the multifamily industry. We offer a full suite of digital services, alongside Fiona, our predictive analytics platform—the first of its kind. At Digible, we take pride in our collaborative, transparent, and authentic culture. Since 2021, we’ve been recognized as a Top Workplace in Colorado and secured the #8 spot in the Best Places to Work Multifamily rankings. From our hiring process to our All Hands meetings and Town Halls, our values are at the core of everything we do. We believe diversity fuels innovation, and we strive to create an inclusive environment where everyone can bring their authentic selves to work. If you're ready to do the best work of your career, we’d love to have you on the team! Core Values:Authenticity - The commitment to be steadfast and genuine with our actions and communication toward everyone we touch. Curiosity - The belief that a deep and fundamental curiosity (the "why") in our work is vital to company innovation and evolution. Focus - The collective will to remain completely devoted and ultimately accountable to our deliverables. Humility - The recognition and daily practice that "we" is always greater than "I". Happiness - The decision to prioritize passion and love for what we do above everything else. The RoleDigible is looking for a Senior Software Engineer to join our Engineering team! You’ll join a product pod; a small, cross-functional team of engineers, product managers, and designers, focused on building features that directly impact how our clients market their properties. Our Engineering team is evolving toward an AI-native development model, where engineers design, spec, and evaluate while AI accelerates implementation. In this role, you’ll operate as a full-stack engineer across a modern, interconnected codebase. You’ll ship meaningful features, influence how we build, and help evolve both our systems and our engineering practices. Depending on your experience, you’ll also play a key role in guiding teammates, shaping technical direction, and accelerating adoption of AI-native workflows through hands-on collaboration. You’ll Love This Job If You: - Enjoy owning problems end-to-end, from customer need through production - Thrive in dynamic environments where priorities shift and ambiguity is common - Are excited about AI-native development and evolving how software is built - Like working closely with Product and Design as peers, not stakeholders - Take pride in improving both systems and the way teams work - Prefer shipping and learning over waiting for perfect requirements - Enjoy mentoring, pairing, and helping other engineers grow - Want to influence technical direction without needing formal authority - Find energy in modernizing and improving real production systems - Like balancing speed with strong engineering standards and quality What You’ll Do: - Think product-first — own outcomes, not just tickets, and ensure work delivers real customer impact - Design, build, and ship features end-to-end, from problem definition through production - Use AI as a core part of your workflow — writing specs, generating code, and critically evaluating outputs - Practice augmented coding — maintaining high standards for code quality, testing, and system design - Navigate ambiguity by prototyping, iterating, and validating solutions with real data - Contribute across the full stack (Node, TypeScript, React) in a cloud-native environment (AWS/GCP) - Improve and evolve a large, interconnected production codebase - Debug complex issues across services and make sound architectural decisions - Own production systems, including observability, reliability, deployments, and on-call responsibilities - Collaborate closely with engineers through code reviews, pairing, and shared problem solving - Transfer knowledge and best practices through hands-on work, not just documentation - Influence technical direction within your pod and contribute to broader engineering improvements - Help define and evolve engineering practices, especially around AI-native development - Step in to lead ambiguous or high-impact problems, and step back to enable others when appropriate - Leave systems and teams better than you found them How Success Will Be Measured: - Delivery of high-quality, customer-impacting features from concept through production - Measurable improvements in team velocity, quality, or engineering practices - Positive influence on team members through mentorship, pairing, and shared standards What You Should Have: - 5–8+ years of professional software engineering experience - Strong experience building and shipping production systems using modern web technologies (TypeScript, Node, React) - Solid system design and debugging skills across distributed systems - Experience owning services end-to-end, including deployment, monitoring, and on-call support - Familiarity with cloud environments (AWS, GCP, or similar) - Strong testing discipline and understanding of test design and coverage - Ability to navigate and improve large, existing codebases - Comfort working in ambiguous, fast-moving environments with shifting priorities - Strong communication skills; able to translate technical concepts across audiences - Experience collaborating cross-functionally with Product and Design - A product mindset — starting with the customer problem and challenging assumptions - Experience using AI tools to improve development workflows and outcomes - Ability to quickly ramp up in unfamiliar systems and deliver value without heavy direction - Track record of mentoring, pairing, or elevating other engineers - Humility and curiosity; openness to learning, adapting, and sharing credit Physical Requirements - Prolonged periods sitting at a desk and working on a computer. - Must be able to lift up to 15 pounds at times This role is open to candidates located within the United States. While this job description outlines the core expectations of the role, it’s not a full list of everything you’ll do at Digible. We believe in leaning in by hitting your key goals, sharing insights, and finding new ways to elevate performance, process, and client success. Pay, Perks and More!We are hiring for this role at different levels within our Engineering Manager track. The salary range is broad, and final compensation will be based on your experience, qualifications, and leveling. - Salary Range: $140,000 - $180,000 - 4-Day Work Week (32 Hour Work Week) - WFA (Work From Anywhere) - Discretionary Bonus - We offer 3 weeks of PTO as well as Sick leave, and Bereavement. - We offer 11 paid holidays! (not counting ones that fall on Friday!) - 401(k) + Match - 75% Employer Paid Health Benefits (Medical, Dental, and Vision) - Mental and Physical Wellness Reimbursement Benefit - $1000/year travel fund for employees who have been with Digible 3+ years - Paid Parental Leave - Dog-Friendly Office - Monthly Social Events - Weekly lunches and snacks for in office employees! HEADS UP! We believe in transparency throughout our hiring process. To help us ensure a great fit, we'll ask you to share a few professional references during the hiring process who can speak to your experience and skills. It’s all part of our commitment to open, honest communication and our core values: Focus, Authenticity, Humility, Curiosity, and Happiness.

• Du betreust Kundenprojekte von Anfang bis Ende • Du entwickelst Softwarelösungen von Front- bis Backend • Du nutzt modernste Technologien und lernst durch verschiedene Projekte die vielen Facetten der .NET- Entwicklung kennen • Du übernimmst Verantwortung und lernst verschiedenste Branchen kennen

Role Description We are seeking a GTM Engineer to design, build, and optimize the systems that power our marketing and sales engine. You'll architect the technical infrastructure connecting our marketing tools, CRM, and analytics platforms, ensuring seamless data flow from first touch. You'll own HubSpot as the system of record and build the automated, signal-driven programs that fill it. You'll combine systems engineering expertise with business process design to build a scalable, data-driven revenue engine. Your impact - Pipeline Generation Systems - Build signal-based prospecting pipelines: identify buying triggers (funding, hiring, tech installs, product launches, job changes) and turn them into automated, scored outbound plays. - Own the enrichment and data layer - ICP scoring, account/contact data quality - so reps work on the right accounts, not just clean ones. - Build and maintain outbound infrastructure: domain/sender strategy, deliverability monitoring, sequencing, multichannel orchestration (email, LinkedIn, ads). - Use LLMs/AI agents in production workflows for research, qualification, personalization, and classification - with evaluation and guardrails against hallucinated output. - Instrument and iterate: measure reply, meeting, opp conversion by segment and play, and kill what doesn't work. - GTM Systems Architecture - Architect and maintain integrations between HubSpot, Google Ads, Google Analytics, Tag Manager, and marketing automation platforms. - Design data synchronization workflows that ensure consistent customer data across marketing, sales, and analytics systems. - Build automated processes that eliminate manual data entry and reduce time from lead capture to sales engagement. - Implement API connections and data pipelines that power real-time attribution and conversion tracking. - CRM Platform Engineering - Own technical administration of HubSpot: standard and custom objects, properties, workflows, pipeline automation, and data model design. - Implement workflow automation for lead routing, scoring, lifecycle progression, and sales handoff. - Design and enforce data quality mechanisms including deduplication rules, validation workflows, and data governance standards. - Marketing Attribution & Tracking Infrastructure - Design and implement end-to-end conversion tracking architecture from ad click through closed-won revenue. - Build UTM tracking standards, campaign tagging infrastructure, and multi-touch attribution models. - Implement tracking mechanisms across web analytics, ad platforms, and CRM to close attribution gaps. - Revenue Metrics & Business Logic - Collaborate with Revenue Operations Manager to translate business requirements into technical system configurations. - Partner with Analytics Engineer to build data models and dashboards for pipeline metrics, conversion rates, and revenue reporting. - Build data quality monitoring and alerting to catch tracking issues, attribution gaps, and process breakdowns. - Process Automation & Optimization - Identify manual processes and build technical solutions that automate repetitive GTM workflows. - Design scalable handoff mechanisms between marketing, sales, and customer success systems. - Build enablement documentation and technical guides for marketing and sales teams. Qualifications - 4+ years in Revenue Operations Engineering, GTM Systems, Marketing/Sales Operations, or technical business systems roles. - Proven experience architecting CRM platforms, marketing automation systems, and business system integrations. - Strong technical skills with APIs, webhooks, data flows, and system integration patterns. - Experience working cross-functionally with Marketing, Sales, RevOps, Analytics, and Engineering teams. - Expert-level hands-on experience with CRM platforms (HubSpot strongly preferred) including workflows, custom objects, APIs, and integrations. - Proficiency with marketing automation platforms and web analytics tools (Google Analytics, Tag Manager, ad platform APIs). - Understanding of data modeling, ETL patterns, and system architecture principles. - Comfortable with SQL for data validation and analysis. - Knowledge of data governance, quality management, and privacy compliance (GDPR, tracking consent). - Strong problem-solving abilities with systems thinking approach. - Excellent communication skills with both technical and business stakeholders. - Self-starter who thrives with high ownership and minimal oversight. - Deep understanding of B2B SaaS metrics: MRR, ARR, CAC, LTV, pipeline velocity, conversion rates. Benefits - Health insurance (medical, dental, vision) with 100% of employee premiums covered. - Unlimited PTO. - Flexible, remote WFH culture. - Access to the iconic Hearst Tower & its facilities in NYC (should you choose to ever be in person). - Based on previous experience and skillset, the starting base salary range for this position: $135,000 - $160,000.

• Independently deliver well-scoped customer-facing features and platform capabilities from design and implementation through rollout and follow-through in production. • Build reliable services, APIs, and web experiences, improving existing systems while shipping new capabilities. • Contribute to AI-powered workflows and experiences using modern LLM tooling, including evaluation, iteration, and human-in-the-loop patterns. • Make thoughtful technical tradeoffs across speed, maintainability, scalability, and customer impact. • Collaborate across Engineering, Product, Design, ML, and platform teams to deliver cohesive customer experiences. • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.