Top Tech Jobs & Startup Jobs in Philadelphia, PA

Own and govern the Professional Services delivery methodology, tooling, and escalation frameworks. Maintain portfolio health reporting, run RCA post-implementation, enforce PS tooling adoption, and develop implementation playbooks for different customer segments. Drive consistency across IMs and CSMs to reduce churn and improve go-live outcomes.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Provide technical support for Homenet/vAuto customers by troubleshooting escalated issues (hardware/software/access), researching root causes, resolving or routing problems, documenting cases, following up with customers, and collaborating with cross-functional teams to ensure satisfaction.

Drive sales strategy and enablement for Cox Automotive clients by advising sales leaders, delivering financial and client intelligence analyses, building analytic frameworks, supporting high-level client engagements, and managing tools and resources to improve sales engagement, adoption, and revenue retention.

Provide remote technical support for Dealertrack DMS via phone and email, troubleshoot product and system issues, log cases in CRM, meet SLA targets, escalate and coordinate cross-department resolution, and work assigned shifts including weekends.

The Commercial Title Examiner conducts title searches, resolves defects, and ensures property titles are clear for energy projects, acting as a subject matter expert.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

Responsible for selling SentiLink solutions to financial institutions, driving value post-sale, and building long-term relationships with partners.

Manage day-to-day execution of assigned clinical program(s), translate strategy into actionable roadmaps, coordinate cross-functional teams (Clinical, Ops, Analytics, Client Success), monitor performance metrics, partner with analysts to drive data-informed improvements, support client reporting and reviews, and maintain program documentation and playbooks to ensure consistent, measurable outcomes.

The Sales Development Representative is responsible for generating new sales opportunities, qualifying leads, and driving first meetings through outbound campaigns and effective communication strategies.

Drive new logo revenue by qualifying prospects, running technical demos and proofs-of-concept, and creating pipeline alongside Sales. Research customer use cases, translate technical value, execute outreach campaigns, and maintain accurate CRM (HubSpot) data to support deal progression and enable sales strategy.

Entry-level bilingual (Thai/English) sales development role responsible for high-volume outreach, qualifying leads, scheduling meetings, and handing off qualified prospects to Account Executives. Targets 100+ daily outreach activities and develops toward a full-cycle Account Executive role.

The Senior Product Manager will own the strategy and execution of Toast's configuration platform, collaborating with engineering, design, and customer teams to enhance the user experience and support diverse business needs.

Design, build, deploy, and maintain scalable, resilient backend services for a Voice AI platform. Lead cross-cutting projects, make architectural decisions, integrate AI platforms, implement observability and evaluation frameworks, and mentor engineers.

As a Care Manager at Empathy, you'll guide families through their journeys with compassionate support in English and Spanish, ensuring a positive user experience across various communication channels.

The Strategic Account Executive will drive enterprise sales, manage a dynamic sales pipeline, engage with C-level executives, and negotiate multi-year contracts in the Insurance and Wealth sector.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.