Top Tech Jobs & Startup Jobs

Owns end-to-end strategy, roadmap, development, launch, and growth for AI, B2B SaaS, data intelligence, cybersecurity, and email deliverability products. Translates customer and business needs into technical product requirements, collaborates with engineering and cross-functional teams, drives AI capabilities and integrations, and uses analytics to optimize product performance. Leads discovery, experimentation, positioning, pricing, go-to-market, and product scaling from 0 to 1 and 1 to 10.

Own AI-powered outbound prospecting and pipeline generation using 27x.ai. Define ICPs, build international campaigns, personalize multichannel outreach, conduct discovery calls and product demonstrations, qualify prospects, and convert leads into opportunities. Track campaign and pipeline metrics, create sales playbooks and battle cards, optimize messaging and sequences, collaborate cross-functionally, maintain CRM hygiene, and mentor junior SDR or presales team members.

Plan, execute, and optimize paid acquisition and full-funnel demand generation campaigns across multiple channels and geographies. Manage large marketing budgets, ABM programs, lead nurturing, marketing automation, CRO, analytics, attribution, and revenue reporting. Collaborate with Sales, Product, and Customer Success to generate qualified leads, demos, pipeline, and revenue while improving ROAS, CPL, CAC, and conversion rates.

Drive B2B new business through outbound prospecting, cold calling, email, and LinkedIn outreach. Research and engage senior decision-makers, qualify leads, conduct discovery, handle objections, schedule product demos, and maintain accurate CRM records. Build a healthy sales pipeline, meet activity and revenue targets, and collaborate with sales and product teams on opportunity handoffs. The role focuses on SaaS, AI, MarTech, SalesTech, CRM, and international B2B markets.

Owns end-to-end product design for complex B2B SaaS, enterprise, AI, and data-heavy products. Responsibilities include user research, UX flows, information architecture, prototyping, high-fidelity UI, design systems, dashboards, analytics-driven optimization, accessibility, design QA, and engineering collaboration. The role contributes to product strategy and growth, leads design initiatives and reviews, mentors junior designers, and presents decisions to leadership.

Lead end-to-end production of corporate, SaaS, product, AI, marketing, advertising, short-form, and long-form videos. Responsibilities include concept development, scripting, storyboarding, filming, editing, motion graphics, color and audio post-production, captions, and final delivery. Create technical explainers, product demos, sales-enablement content, and supporting graphics while maintaining brand standards. Use AI creative tools, collaborate cross-functionally, and analyze video performance to improve creative results. Independently manage projects, shoots, deadlines, and a mandatory portfolio of relevant work.

Manage and optimize AWS and Azure cloud infrastructure, networking, IAM, virtual machines, storage, load balancers, backups, and hybrid or multi-cloud environments. Implement infrastructure using Ansible and Terraform, troubleshoot network performance, monitor availability, and support high-scale architectures. Maintain CI/CD pipelines, deployment automation, and containerized deployments with Docker and Kubernetes while collaborating with infrastructure, security, platform, and development teams.

Research potential leads using search engines, business directories, social media, and other tools. Maintain accurate lead databases, validate prospect information, analyze trends, follow up on inquiries, and prepare daily activity reports. The role requires computer proficiency, internet research, data extraction, typing accuracy, spreadsheet knowledge, communication skills, attention to detail, and willingness to learn.

Design and maintain scalable batch and streaming data pipelines using Azure Databricks, Spark, Delta Lake, Azure Data Factory, and related Azure services. Build governed Lakehouse architectures across Bronze, Silver, and Gold layers; optimize storage, partitioning, queries, and clusters; implement infrastructure as code; and support CI/CD deployments. Develop reusable pipeline components and integrate streaming, governance, security, and access-control solutions across enterprise data platforms.

Lead the architecture and development of a Risk and Entity Intelligence Platform. Build scalable data pipelines, ETL and ingestion systems, entity resolution capabilities, graph database solutions, and risk intelligence products. Apply compliance, KYC/AML, sanctions, and multilingual data expertise while making technical decisions and mentoring engineers. The role also involves working with APIs, web scraping, cloud infrastructure, workflow orchestration, and large-scale data acquisition.