• Build and ship full SEO and AEO features end-to-end with minimal oversight, from development through experimentation and rollout. • Design, build, and ship high-quality full-stack features that enhance search engine visibility, AI answer engine performance, and organic traffic with a strong sense of urgency and ownership. • Apply technical best practices to deliver performant, observable, and cost-aware code that improves traditional search rankings, LLM visibility, and user experience. • Contribute to data pipelines for SEO and AEO data ingestion, transformation, and delivery, applying simple, reusable abstractions to keep the system healthy as it grows. • Collaborate with product managers, designers, and marketing partners to translate user needs into technical requirements, surface trade-offs, and deliver on shared goals.

Role Description As our first GTM Engineer, you’ll be architecting the systems that make our entire go-to-market team move faster and smarter. This is a high-impact individual contributor role with direct visibility to leadership. You’ll work at the intersection of commercial strategy and technical execution, building automated revenue engines that compound over time. Your work will progress through: - Data foundation: keep CRM and data records clean, deduped, and trustworthy through automated enrichment, schema audits, and ownership rules. - Data modeling: collect unique data points that predict purchase, expansion, or churn; build propensity scores, define ICP attributes, and enrich AI-powered signals. - Data activation: deploy those data points in revenue-generating workflows: automated outreach, meeting notes, churn-risk nudges, and sales enablement at scale. Key Responsibilities - AI-powered revenue automation: - Build automated workflows that replace manual seller research, CRM updates, and follow-up sequences using AI and enrichment tools like Clay, n8n, and Zapier. - Design and deploy signal-based outbound systems by monitoring competitor activity, intent signals, and trigger events to launch personalized campaigns at speed. - Automate account research, scoring, and prioritization so reps spend time selling, not preparing. - Automate retention and expansion plays: analyze support tickets to predict churn and trigger targeted outreach before renewal. - CRM Engineering & Data Foundation: - Administer and architect our CRM (HubSpot or Salesforce) end to end workflows, pipelines, fields, integrations, and data integrity. - Build and maintain dashboards that give leadership real-time visibility into pipeline health, revenue forecasting, and sales performance. - Own data quality from source to activation clean, enriched, and structured so every downstream system actually works. - Run automated enrichment jobs, deduplication routines, and audit processes so the team spends time on strategy, not data hygiene. - GTM systems and process design: - Design scalable, documented sales processes from lead handoff to close. - Evaluate and manage the sales tech stack, cutting noise and identifying tools that create real leverage. - Support territory planning, quota setting, and commission tracking in partnership with leadership. - Partner with finance on revenue forecasting and headcount planning. - Cross-Functional Collaboration: - Work closely with Sales, Marketing, Finance, and Customer Success to align on shared metrics, tooling, and processes. - Act as the internal expert on GTM tooling. - Identify revenue bottlenecks across the funnel, write specs, ship prototypes, and scale what works. Qualifications - 3–9 years in Sales Operations, Revenue Operations, GTM Engineering, or a closely related function. - Hands-on CRM experience with HubSpot or Salesforce administration, not just usage. - Demonstrated experience building automated workflows using tools like Clay, Zapier, n8n, Bolt, TypeScript, Python, SQL, Lovable, or similar. - Comfortable building reports, interpreting data, and presenting insights clearly to non-technical stakeholders. - Experience with pipeline forecasting, quota analysis, and sales performance reporting. - Ability to work independently, manage competing priorities, and build from scratch in a fast-moving environment. - Background in a tech company startup or enterprise; we value both. Preferred Qualifications - Experience at an AI, SaaS, or data infrastructure company. - Familiarity with Outreach, ZoomInfo, Gong, Apollo, or similar GTM tooling. - Experience supporting a sales team through a funding round or significant growth phase. - Exposure to commission plan administration or incentive compensation tools. - Python or Typescript experience for customer automation scripts. - A builder's mindset: someone who sees a manual process and immediately thinks about how to automate it. Compensation - Base salary range: $90,000 - $147,000 annually (Base salary is commensurate with experience and location). - Annual performance bonus. Benefits - Comprehensive medical, dental, and vision coverage (80% employer-paid). - Unlimited PTO policy with 15 days minimum. - 11 paid company holidays. - Professional Development: - Annual training and certification budget. - Access to online learning platforms. - Conference attendance opportunities. - Regular internal technical workshops and knowledge sharing sessions. Work Environment - Location: On-site in Dallas HQ preferred; remote candidates will be considered. - High-performance workstations. - Modern office space in Dallas with standing desks and ergonomics equipment. - Monthly team events and learning sessions. - Collaborative in-office environment fostering innovation and teamwork. Process We like to be efficient but do our due diligence. Here’s what you’ll expect from us: - Interview with Recruiter (30-60 minutes). - Interview with Hiring Manager (45 minutes). - Interview with Team (45 minutes). - Interview with Team (45 minutes). - Interview with CEO (30-60 Minutes). Apply Now Hit the apply button and submit: - Detailed Resume. 4MindsAI is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.

Role Description Du baust .NET-Anwendungen, die im Enterprise-Umfeld laufen. Dein Schwerpunkt liegt auf dem Backend, aber du verstehst das ganze Bild. Du übersetzt Kundenanforderungen in Architektur, lässt AI Agents Code generieren, prüfst kritisch und lieferst Qualität. Nicht Perfektion auf dem Papier, sondern ein Produkt, das funktioniert. - Du entwickelst Backend-Lösungen mit .NET und integrierst sie in AWS-Cloud-Architekturen. - Du nutzt AI CLI-Tools (Claude Code, Cursor, Gemini CLI) als Multiplikator für Entwicklung und Testing. - Du entwirfst APIs und sorgst für saubere Integration zwischen Frontend, Backend und Cloud. - Du arbeitest direkt mit Kunden an technischen Anforderungen und Lösungsdesign. - Du setzt auf automatisiertes Testing und CI/CD. - Du baust Prototypen, indem du Ideen an AI Agents gibst und den Output iterierst. Qualifications - Mindestens 3 Jahre Full-Stack-Entwicklung mit .NET-Schwerpunkt. - Erfahrung mit mindestens einem AI CLI-Tool (Claude Code, Cursor, Gemini CLI). - Erfahrung mit Cloud-Technologien (AWS von Vorteil). - Vertraut mit Git, Docker und CI/CD. - Fähigkeit, AI-Output kritisch zu bewerten und Enterprise-Qualität zu liefern. - Fließend Deutsch und Englisch. Benefits - Flexible Arbeitszeiten und 100% Remote Arbeit. - Zugang zu AI-Tools und LLM-Keys. Nicht als Benefit, sondern als Arbeitsmittel. - Echte Enterprise-Projekte mit Ownership. Produkte für Siemens, Deutsche Börse, Volkswagen. - AWS-Zertifizierungen und Konferenzen. - Ein Team von ~30 Engineers, das Wissen teilt statt hortet. - Keine Folien-Kultur. Wir arbeiten an der Sache, nicht am Konzept.

Software Engineer, Scala Palo Alto, CA Who You Are Quantifind is seeking a Software Engineer for our Platform team to help define and deliver data services and machine learning infrastructure. The Platform team owns all the infrastructure that powers the SaaS products we build for our customers. We process terabytes of data each day on our own dedicated Hadoop clusters. We use real-time data services to enable interactive investigations in our web applications. We use Kubernetes and Docker for our container ecosystem, and we develop standalone services in Scala and Python and use Spark for MapReduce jobs. You care deeply about your work and its impact on the work your team does. You hold yourself to a high standard when it comes to writing clean, performant, and maintainable code that powers well-designed microservices and enhances Quantifind’s distributed data platform. You work well with cross-functional teams that include Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers. You are proactive in suggesting how to improve the design, performance, and testing of the software that you build. You can effectively balance near-term priorities with forward-looking ways to build a sustainable team culture. You value the security of a company with a proven business model and enjoy the opportunities a startup offers. Who We Are Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as Software-as-a-Service (SaaS) with consumer-grade user experiences. Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk. While incumbent solutions based on legacy technologies demand increasingly more human resources as the operations expand, Quantifind’s SaaS solution scales by offering a way to cut through the inefficiency and enhance effectiveness through Machine Learning driven solutions that resolve for both accuracy and relevance. To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance. What A Great Candidate Looks Like: - BS or MS in Computer Science - Professional software engineer for 2+ years with a focus on platform engineering - Professional experience with Scala and/or Java - Professional experience working with PostgreSQL - Understanding of JVM internals and 2+ years of relevant experience working with code that runs in a JVM preferred - Experience with Apache Spark, and/or general MapReduce technologies preferred - You can design and prototype scalable algorithms - You can create your own efficient data structures and algorithms when the ones found in open source libraries are lacking - Professional experience writing unit tests and automated integration tests - You can build microservices with REST APIs for real-time query engines and web crawlers - You know how to set up ETL pipelines for data streams - Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, etc.) preferred - Solid understanding of concurrency and distributed systems - Understanding of algorithm complexity and performance implications - Knowledge of Machine Learning techniques preferred - Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers - Professional experience at a software startup strongly preferred - Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future The Opportunity We Offer Quantifind is seeking a Software Engineer for our Platform team in Palo Alto, California. You will work on Quantifind’s Scala infrastructure to generate risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more. Quantifind’s development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space. A highlight of our benefits: - Competitive salary - Company Equity - Exceptional benefits package - Flexible Vacation & Paid Time Off - Employer-matched 401(k) plan - A fun environment where work-life balance is valued The base salary range for this full-time position is $130,000 to $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.