Senior Enterprise Sales Lead
About the job
- Five to eight or more years of enterprise business-to-business software-as-a-service new-business sales experience.
- A proven track record of consistently closing deals with annual contract values above $100,000.
- Experience selling complex technical products such as artificial intelligence, automation, data platforms, or similar products.
- Strong experience closing multi-stakeholder deals with C-level and vice president stakeholders.
- Demonstrated ability to build and close pipeline through outbound and self-sourced efforts.
- Experience with usage-based or consumption-based pricing models.
- Experience negotiating enterprise contracts with legal and finance, including pricing and service-level agreement terms.
- Strong commercial judgment, including the ability to qualify, prioritize, and shape deals effectively.
- Experience contributing to or building go-to-market processes, playbooks, or team practices.
- Comfort operating in ambiguous, early-stage environments with high ownership.
- Authorization to work in the European Union or Schengen Area.
- Fluent German at native or C1+ level and professional English.
- Own the full enterprise sales cycle, from outbound pipeline generation through to close.
- Build pipeline through targeted account mapping, outbound strategies, and multi-threaded engagement.
- Engage C-level and vice president stakeholders across Operations, Innovation, and related functions.
- Lead deal strategy, including discovery, use-case definition, pricing with usage-based models, and contract negotiation with service-level agreement alignment.
- Work closely with product and deployment teams to co-design solutions and shape high-impact customer use cases.
- Drive complex, multi-stakeholder deals with high annual contract values and longer sales cycles.
- Contribute to how Beam sells by defining messaging, influencing go-to-market strategy, and improving repeatability.
- Bridge customer needs and internal teams by feeding customer insights back into product and ensuring strong customer outcomes.
- Represent Beam in customer conversations, onsite visits, and key industry moments.
- Experience selling artificial intelligence agents, generative artificial intelligence, or workflow automation solutions.
- Experience in early-stage or high-growth startup environments.
- Experience contributing to or scaling go-to-market processes, sales playbooks, or early sales teams.
- Experience working closely with product or engineering teams on solution design or pre-sales initiatives.
- Experience selling into business process outsourcing, recruitment process outsourcing, or shared-services environments in the DACH market.
About the company
Beam AI builds software that lets organizations automate repetitive back office work with AI agents. These agents imitate human steps to perform tasks like data entry, data extraction, and customer support across the organization. They connect to existing systems such as CRM, ERP, and CMS to plan and execute end-to-end workflows automatically. Beam AI differentiates itself by offering agents that can operate inside current IT stacks, handling complex, multi-step tasks rather than simple, one-off scripts. The goal is to reduce manual work, improve consistency, and free up staff time by letting AI agents run routine processes across back-office functions.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
New York City, New York
Founded
2022
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Simplify's Take
What believers are saying
- Beam said June 2026 adoption reached 1,200 contractors and suppliers across the US and Canada.
- BIM CoPilot opens larger project scopes, adding build-phase revenue beyond estimating.
- The 2025 Series B funded expansion after total funding reached $48 million.
What critics are saying
- Bluebeam, Autodesk, STACK, and Togal already own contractor workflows Beam must displace.
- BIM CoPilot depends on human review, which caps margins and slows enterprise scale.
- A single bad takeoff or BIM clash can poison trust across contractor networks.
What makes Beam AI unique
- Beam AI combines human-vetted automation with construction workflows across takeoff, estimating, bids, and BIM.
- Insight Partners led Beam AI's $30.5 million Series B on November 12, 2025.
- On June 22, 2026, BIM CoPilot extended Beam from preconstruction into build-phase coordination.
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Benefits
Remote Work Options
Flexible Work Hours
Parental Leave
Company Equity
Growth & Insights and Company News
6 month growth
-1%1 year growth
-1%2 year growth
1%Alloyed puts AI agents on client work, keeps people on exceptions. Posted on October 13, 2026 * Alloyed partnered with Beam AI to run AI agents in client operations. * Agents handle the standard path while Alloyed's operators own exceptions. * Discovery on one process takes weeks, not months, Alloyed says. * It is Alloyed's third AI partnership since July, after Supervity and SimpliSmart. NEW JERSEY, UNITED STATES - Alloyed will map how a client's processes actually run, build AI agents for the steps worth automating and keep its own operators on every case the agents cannot handle, under a new partnership with enterprise agentic AI platform Beam AI. The model gives software the standard path and leaves the exceptions to people. How the model works. The work runs in four stages, starting with Beam's Process Discovery to map a process, then ranking what is worth automating, building agents on Beam's platform and running them under human oversight, according to an Alloyed announcement. In an invoice-approval process, for example, agents clear invoices that match while an operator sees every one that does not. What operators catch feeds back into the system, and results are measured against the client's existing service levels. Alloyed said discovery on one process takes weeks, not months. "The future of enterprise operations isn't about replacing people with AI, it's about orchestrating teams of people and intelligent agents working together," said Lauren Kochan, CEO of Alloyed. She said Beam AI lets the company place agents alongside client teams under governance the client can see. A third AI partnership since July. The Beam AI deal is Alloyed's third AI partnership since July. That month it paired its operational specialists with Supervity's autonomous AI Employees across finance, procurement, HR, IT and customer operations, and on July 29 it announced a partnership with SimpliSmart LLC to embed AI-automated workflows into end-to-end business processes. "Accuracy is won or lost on the exceptions, and that is where Alloyed's operators are irreplaceable," said Jonas Diezun, CEO of Beam AI. He said Process Discovery shows where work breaks, what exceptions cost and which fixes are worth funding. When automation decisions rest on evidence about where work breaks, offshore outsourcing and business process outsourcing (BPO) partners become the place where agents and human judgment are combined. Buyers comparing the top BPO companies worldwide can ask each provider to show how exceptions reach a person and how results are tracked against service levels. Alloyed's run of partnerships shows that the people handling exceptions remain central to agentic AI in operations. For enterprise buyers moving past AI pilots, a managed service that pairs agents with accountable operators is intended to reduce errors in high-cost processes. BPO operators that can map processes and govern agents are positioned to win the next round of automation work. Alloyed is currently subscribed as an Outsource Accelerator (OA) BPO Partner. Through OA's Marketing, Sales, and Source Partner Hubs, the firm accesses a unified growth platform designed to convert high-intent prospects and accelerate deal flow in the outsourcing industry. FREE BPO MATCH AI reshaping your workforce? Reskilling-ready offshore teams - free BPO match 5,200+ matches made Disclosure: Outsource Accelerator uses AI tools in the backend of its editorial workflow. Every article is reviewed and verified by a human editor before publication. Stay ahead of the outsourcing industry. Join thousands of business leaders who rely on Outsource Accelerator for the news, trends, and expert insights that matter. Subscribe to our free newsletter and never miss an update.
Beam AI has launched BIM CoPilot, a fully managed building information modelling solution that provides human-vetted, multi-trade BIM management across architecture, structure, civil, HVAC, plumbing, electrical and fire protection. The launch expands the company's offering beyond preconstruction into the build phase. BIM CoPilot helps contractors convert design documents into coordinated 3D models, clash-free documentation and construction-ready drawing sets. The service is available as a standalone, project-based offering for all construction teams, with pricing based on project scope and complexity. Beam AI is already trusted by over 1,200 contractors and suppliers across the US and Canada for AI-based takeoff, estimating and bid management. The company is Series B backed by Insight Partners.
B.AI launches global platform for autonomous AI agents. B.AI launched a global infrastructure to run fleets of autonomous AI agents for research into artificial general intelligence. B.AI announced a global infrastructure designed to run autonomous AI agents across cloud regions and edge locations. The platform provides distributed compute, agent orchestration, data pipelines and evaluation tools to let many agents operate, learn and coordinate across regions. The platform enables researchers and engineers to deploy and manage fleets of agents that pursue long-running goals, interact with simulated and real environments, and share experiences for collective learning. It combines scheduling and autoscaling for agent workloads with monitoring, logging and experiment tracking to support large-scale research and production tests. Technical components include an orchestration layer that schedules agents and allocates compute, sandboxed runtime environments for safety and reproducibility, connectors to external APIs and hardware, and integrated simulation environments for training. The system supports containerized workloads and standardized APIs so teams can plug in different model backends, reward functions and evaluation suites without rewriting orchestration code. B.AI built the infrastructure to place workloads on public clouds, private data centers or edge nodes to reduce latency for interactive tasks and to meet data residency requirements. The architecture includes role-based access controls, encrypted data flows and auditing features to help organizations manage sensitive data and meet compliance needs. Developer tooling comprises an SDK for writing agent code, a web console for launching experiments and dashboards that display performance metrics and safety signals. The platform offers benchmark suites and replay facilities so researchers can reproduce past runs and compare results across model versions. Safety and governance features are integrated at the experiment level to limit agent permissions and stage rollouts. The system provides logging and red-teaming hooks for hazard analysis, options for isolating agents during early testing and mechanisms to expand environment access as confidence in behavior increases. B.AI said it will roll out access to partners, research groups and select customers while developing further controls and evaluation methods. The company cited ongoing work to standardize agent interfaces and expand simulation environments used to test complex tasks. Content on BlockPort is provided for informational purposes only and does not constitute financial guidance. Blockport STO strive to ensure the accuracy and relevance of the information Blockport STO share, but Blockport STO do not guarantee that all content is complete, error-free, or up to date. BlockPort disclaims any liability for losses, mistakes, or actions taken based on the material found on this site. Always conduct your own research before making financial decisions and consider consulting with a licensed advisor. For further details, please review its Terms of Use, Privacy Policy, and Disclaimer.
Low-Volume rebound as market focuses on stabilization - jan 12, 2026. January 12, 2026 Daily market report - January 12, 2026. On January 12, the crypto market extended a modest rebound amid notably reduced activity, with major assets moving higher while overall momentum remained measured. Total trading and liquidation volume over the past 24 hours declined to $66.34 billion, marking a recent low and indicating a temporary pullback in participation following prior volatility. The Fear & Greed Index held steady at 41, reflecting a neutral-to-slightly-bullish sentiment without signs of renewed exuberance. Bitcoin(BTC) rose 1.18% to $91,707.89, trading between an intraday high of $91,937.91 and a low of $90,246.55. Price action remained constructive, with the $90,000 level continuing to act as a key support zone. Ethereum(ETH) showed relative resilience, gaining 1.46% to $3,140.98, with prices ranging from $3,152.91 to $3,090.00, modestly lifting its trading base. Positioning across derivatives markets was nearly perfectly balanced, with BTC longs at 50.02% and ETH longs at 50.01%, underscoring a market in wait-and-see mode. Selective speculative activity persisted despite lower overall volumes. AQRWA/USDT surged 87.77%, while BTA/USDT and SLY/USDT advanced 45.92% and 30.69%, respectively. These moves highlight concentrated capital deployment into a limited number of high-beta assets rather than broad-based risk expansion. Macro and industry developments provided additional context. Michael Saylor remarked that the top-performing assets of the past decade were NVDA, MSTR, and BTC, reinforcing the long-term convergence narrative between technology equities and Bitcoin. Meanwhile, The Wall Street Journal reported that Tether has become a critical tool for Venezuela's state oil company to evade sanctions, renewing debate around the geopolitical role and regulatory scrutiny of stablecoins. In the technology sector, Self-Operating Group secured RMB 1 billion in Series A++ funding, with participation from ByteDance and Sequoia China, signaling sustained capital inflows into AI-driven automation. On the macro front, Federal Reserve Chair Jerome Powell dismissed a criminal investigation as a "political pretext" and reiterated his commitment to defending central bank independence, helping anchor expectations around policy continuity. Overall, the January 12 session reflects a market prioritizing stabilization over momentum. With prices holding above key support levels but volumes subdued, crypto assets appear to be consolidating as they absorb recent moves and await clearer directional catalysts.