Respondology

Role Description Respondology is a scaling SaaS company working with some of the world’s biggest brands to help them protect their communities online and gain clarity from the noise of social media. We’re looking for a Product Marketing Manager who can connect the value of our technology to the people who use it, shaping how our story is told and ensuring our products stand out in the market. This is a chance to join a small, ambitious team where your work will directly influence our growth. Qualifications - Deep understanding of how to position SaaS products in a way that resonates with customers and prospects - Experience translating technical concepts into simple, compelling stories that drive adoption and engagement - Track record of launching successful go-to-market campaigns and supporting product rollouts - Skilled at building clear, effective sales enablement tools (decks, one-pagers, case studies, competitive battlecards) - Ability to analyze the market, customers, and competitors to inform messaging and positioning - Highly motivated and resourceful, able to navigate ambiguous environments and shifting priorities - Strong collaboration skills with product, sales, marketing, and leadership teams - Excellent communicator who can tailor messaging for both technical and non-technical audiences Requirements - Bachelor’s degree in Marketing, Communications, Business, or related field — or equivalent work experience - 4–6 years of proven product marketing experience in B2B SaaS, ideally within a startup environment - Demonstrated experience bringing products to market and executing go-to-market strategies - Previous experience in the social, moderation, or marketing technology space Benefits - 100% remote, with optional access to our Boulder, CO office - Flex PTO, generous holidays, and a full week off between Christmas and New Year's - Multiple healthcare options including FSA/HSA plans - 401k (traditional and Roth) with company match, immediately vested - Fully paid family and parental leave (12 weeks per year) - Twice-yearly team offsites Compensation $90,000 - $120,000 DOE + bonus What to expect This is a startup. The pace is fast and the playbook is still being written. If you do your best work inside a fully built structure, this probably isn't the right fit. If the idea of building that structure sounds exciting, we'd love to meet you. What matters We recognize the value in how different backgrounds and unique experiences shape our ways of thinking. These perspectives spark the conversations that enrich our culture and, in turn, improve our products. We invite anyone who feels they are qualified to apply and join a team united by the drive to build something that matters.

Role Description We're hiring an Engineering Manager to lead the team behind Respondology's most technically ambitious work within platform infrastructure and the Respond product (LLM-powered social responses). This is a role built for someone who can step in, establish clarity quickly, and drive a small, high-output team to ship consistently. - Manage five engineers across multiple domains, with headcount growth planned before you start. - Earn trust fast, build team rhythm where it's missing, and be a strong partner to Product. - Work closely with the VP of Engineering to multiply the team's output. What you'll do: - Own sprint planning, backlog refinement, and delivery accountability across your teams. - Coach engineers on craft, ownership, and growth with direct, specific feedback. - Be the primary engineering voice in planning and roadmap conversations with Product. - Provide light hands-on support for prototypes, bug fixes, and performance work when the team needs a boost. - Surface and resolve blockers fast; escalate the ones that require VP-level involvement. - Reduce single points of failure and knowledge silos as the team grows. Qualifications - 4+ years of engineering management experience with a track record of on-time, high-quality delivery. - Experience managing engineers working on production AI/ML or LLM-integrated systems. - Strong prioritization instincts; comfortable making calls with incomplete information. - Clear, direct communicator across written, verbal, async, and sync contexts. - Demonstrated ability to build productive, trusted relationships with Product counterparts. - Enough technical depth to understand what your team is building, ask the right questions, and spot when something's off. - Startup experience with high ownership expectations is a strong plus. Benefits - Competitive salary + equity. - 100% remote, with optional access to our Boulder, CO office. - Flex PTO, generous holidays, and a full week off between Christmas and New Year's. - Multiple healthcare options including FSA/HSA plans. - 401k (traditional and Roth) with company match, immediately vested. - Fully paid family and parental leave (12 weeks per year). - Twice-yearly team offsites. Compensation $175,000-$225,000 DOE + bonus + equity. What to expect This is a startup. The pace is fast and the playbook is still being written. If you do your best work inside a fully built structure, this probably isn't the right fit. If the idea of building that structure sounds exciting, we'd love to meet you. What matters We recognize the value in how different backgrounds and unique experiences shape our ways of thinking. These perspectives spark the conversations that enrich our culture and, in turn, improve our products. We invite anyone who feels they are qualified to apply and join a team united by the drive to build something that matters.

Role Description We're hiring a Senior Applied Machine Learning Engineer to join the small team that makes AI work tractable, safe, and fast across the company. In this role, you’ll ship LLM-powered systems that real users depend on every day, and build the tooling and standards that let other engineers ship them too. Our systems process nearly 2 trillion tokens, 15M+ social comments, and 100M+ LLM transactions to make that happen. - Partner closely with our AI Function lead across all three AI products: Moderate, Discover, and Respond. - Focus on the highest-risk applied ML work and strengthen the foundations (eval harnesses, observability, reference implementations) for engineers who aren't ML specialists. - Own high-difficulty applied ML features end-to-end, from prototype through production. - Build eval pipelines, golden datasets, and observability tooling (much of this is greenfield). - Create reference implementations to guide other engineers on shipping AI correctly. - Partner with Product and Engineering to translate between technical feasibility and team objectives. Qualifications - 5+ years building applied ML systems in production. - Hands-on experience with LLMs, including classification, summarization, RAG, and agentic workflows. - Strong ML evaluation instincts: constructing datasets, running offline and online evals, defining metrics. - Ability to own a feature end-to-end without a lot of hand-holding. - Strong Python skills and comfort working in a production codebase. - Experience building internal tooling or platforms that leveled up other engineers is a big plus. Benefits - Competitive salary + equity. - 100% remote, with optional access to our Boulder, CO office. - Flex PTO, generous holidays, and a full week off between Christmas and New Year's. - Multiple healthcare options including FSA/HSA plans. - 401k (traditional and Roth) with company match, immediately vested. - Fully paid family and parental leave (12 weeks per year). - Twice-yearly team offsites. Compensation $140,000 - $175,000 per year DOE + bonus + equity. Location This is a 100% remote role. Must be willing to travel to Colorado or other locations approximately twice per year to work in-person with your team and have fun! What to expect This is a startup. The pace is fast and the playbook is still being written. If you do your best work inside a fully built structure, this probably isn't the right fit. If the idea of building that structure sounds exciting, we'd love to meet you. What matters We recognize the value in how different backgrounds and unique experiences shape our ways of thinking. These perspectives spark the conversations that enrich our culture and, in turn, improve our products. We invite anyone who feels they are qualified to apply and join a team united by the drive to build something that matters.

• Build and own Respondology’s partnerships strategy across social platforms, adtech, Martech, and ecosystem partners • Identify, pitch, and secure high-value strategic partners — from large platforms to fast-moving web 3.0 players • Develop deep, trust-based relationships with senior stakeholders • Drive revenue through partnerships: co-selling motions, referrals, channel programs, and new business opportunities • Develop joint value propositions and GTM plans with partners to expand reach and accelerate pipeline • Travel for in-person meetings, events, and relationship building — showing up where it matters • Stay close to the work: prospecting, follow-ups, negotiation, paperwork, and everything in between • Collaborate with Sales, Marketing, Product, and executive leadership to ensure alignment and maximize partner impact • Build the reporting, systems, and processes needed to scale partnerships predictably • Bring creativity and out-of-the-box thinking to deals, activations, and co-marketing opportunities • Represent Respondology with a mix of polish, persistence, and just-enough charm to get the job done

• Research and identify potential mid-market prospects using LinkedIn, Apollo, and other CRM tools • Run multi-channel outreach (calls, email, LinkedIn) to generate conversations • Qualify inbound leads and book meetings for Account Executives • Keep CRM (Hubspot) up to date with activity and pipeline progress • Collaborate with the SDR Manager and AEs to refine messaging and improve conversion rates • Consistently meet or exceed activity and opportunity targets

• Own the full sales cycle—from outbound prospecting to signed contract • Generate a significant portion of your own pipeline through outbound prospecting, cold outreach, and creative sourcing strategies • Drive new ARR through a healthy mix of inbound leads, event-driven opportunities, and self-generated outbound opportunities • Develop a strong understanding of Respondology's products, value, and buyers • Lead consultative discovery to surface business pain points and tie Respondology's ROI to the needs of marketing, brand, and social teams • Consistently meet or exceed sales quotas and KPIs • Accurately manage your pipeline, activities, and accounts in HubSpot • Collaborate closely with Marketing, Product, and Customer Success to ensure a seamless buyer journey

• Design and build data ingestion pipelines integrating with dozens of external sources (social platforms, third-party APIs, web scrapers) • Architect ETL workflows using Airflow and Kafka to process high-volume data streams (millions of records daily) • Collaborate with AI/ML engineers to ensure data quality and availability for Agentic RAG pipelines • Build and optimize multi-store data architecture: vector databases (Pinecone), relational databases (Postgres), and search engines (OpenSearch) • Develop and maintain integrations with social media platforms (Meta, LinkedIn, TikTok, X/Twitter) handling webhook ingestion and API polling • Optimize data freshness, throughput, and reliability across distributed systems • Participate in code reviews and contribute to backend services (FastAPI/Python, occasional Ruby on Rails)